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# Extended BLAS

> Base (i.e., lower-level) extensions to basic linear algebra subprograms (BLAS).

<section class="usage">

## Usage

```javascript
var ns = require( '@stdlib/blas/ext/base' );
```

#### ns

Namespace for "base" (i.e., lower-level) extensions to basic linear algebra subprograms (BLAS).

```javascript
var o = ns;
// returns {...}
```

<!-- <toc pattern="*"> -->

<div class="namespace-toc">

-   <span class="signature">[`capx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/capx]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each element in a single-precision complex floating-point strided array.</span>
-   <span class="signature">[`caxpb( N, alpha, beta, x, strideX )`][@stdlib/blas/ext/base/caxpb]</span><span class="delimiter">: </span><span class="description">multiply each element in a single-precision complex floating-point strided array by a scalar constant and add a scalar constant to each result.</span>
-   <span class="signature">[`cdiff( N, k, x, strideX, N1, prepend, strideP, N2, append, strideA, out, strideOut, workspace, strideW )`][@stdlib/blas/ext/base/cdiff]</span><span class="delimiter">: </span><span class="description">calculate the k-th discrete forward difference of a single-precision complex floating-point strided array.</span>
-   <span class="signature">[`cfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/cfill]</span><span class="delimiter">: </span><span class="description">fill a single-precision complex floating-point strided array with a specified scalar constant.</span>
-   <span class="signature">[`cindexOfColumn( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/cindex-of-column]</span><span class="delimiter">: </span><span class="description">return the index of the first column in a single-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`cindexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/cindex-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the first row in a single-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`cindexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/cindex-of]</span><span class="delimiter">: </span><span class="description">return the first index of a specified search element in a single-precision complex floating-point strided array.</span>
-   <span class="signature">[`clastIndexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/clast-index-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the last row in a single-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`coneTo( N, x, strideX )`][@stdlib/blas/ext/base/cone-to]</span><span class="delimiter">: </span><span class="description">fill a single-precision complex floating-point strided array with linearly spaced numeric elements which increment by `1` starting from one.</span>
-   <span class="signature">[`csum( N, x, strideX )`][@stdlib/blas/ext/base/csum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision complex floating-point strided array elements.</span>
-   <span class="signature">[`csumkbn( N, x, strideX )`][@stdlib/blas/ext/base/csumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision complex floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`cunitspace( N, start, x, strideX )`][@stdlib/blas/ext/base/cunitspace]</span><span class="delimiter">: </span><span class="description">fill a single-precision complex floating-point strided array with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
-   <span class="signature">[`cwhere( N, condition, strideC, x, strideX, y, strideY, out, strideOut )`][@stdlib/blas/ext/base/cwhere]</span><span class="delimiter">: </span><span class="description">take elements from one of two single-precision complex floating-point strided arrays depending on a condition.</span>
-   <span class="signature">[`cxsa( N, alpha, x, strideX )`][@stdlib/blas/ext/base/cxsa]</span><span class="delimiter">: </span><span class="description">subtract a scalar constant from each element in a single-precision complex floating-point strided array.</span>
-   <span class="signature">[`czeroTo( N, x, strideX )`][@stdlib/blas/ext/base/czero-to]</span><span class="delimiter">: </span><span class="description">fill a single-precision complex floating-point strided array with linearly spaced numeric elements which increment by `1` starting from zero.</span>
-   <span class="signature">[`dapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapx]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each element in a double-precision floating-point strided array.</span>
-   <span class="signature">[`dapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsum]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum.</span>
-   <span class="signature">[`dapxsumkbn( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`dapxsumkbn2( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsumkbn2]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.</span>
-   <span class="signature">[`dapxsumors( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsumors]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum using ordinary recursive summation.</span>
-   <span class="signature">[`dapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dapxsumpw]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each double-precision floating-point strided array element and compute the sum using pairwise summation.</span>
-   <span class="signature">[`dasumpw( N, x, strideX )`][@stdlib/blas/ext/base/dasumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values (_L1_ norm) of double-precision floating-point strided array elements using pairwise summation.</span>
-   <span class="signature">[`daxpb( N, alpha, beta, x, strideX )`][@stdlib/blas/ext/base/daxpb]</span><span class="delimiter">: </span><span class="description">multiply each element in a double-precision floating-point strided array by a scalar constant and add a scalar constant to each result.</span>
-   <span class="signature">[`dcartesianPower( order, N, k, x, strideX, out, LDO )`][@stdlib/blas/ext/base/dcartesian-power]</span><span class="delimiter">: </span><span class="description">compute the Cartesian power for a double-precision floating-point strided array.</span>
-   <span class="signature">[`dcartesianProduct( order, M, N, x, strideX, y, strideY, out, LDO )`][@stdlib/blas/ext/base/dcartesian-product]</span><span class="delimiter">: </span><span class="description">compute the Cartesian product for two double-precision floating-point strided arrays.</span>
-   <span class="signature">[`dcartesianSquare( order, N, x, strideX, out, LDO )`][@stdlib/blas/ext/base/dcartesian-square]</span><span class="delimiter">: </span><span class="description">compute the Cartesian square for a double-precision floating-point strided array.</span>
-   <span class="signature">[`dcircshift( N, k, x, strideX )`][@stdlib/blas/ext/base/dcircshift]</span><span class="delimiter">: </span><span class="description">circularly shift the elements of a double-precision floating-point strided array by a specified number of positions.</span>
-   <span class="signature">[`dcusum( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dcusum]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of double-precision floating-point strided array elements.</span>
-   <span class="signature">[`dcusumkbn( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dcusumkbn]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`dcusumkbn2( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dcusumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
-   <span class="signature">[`dcusumors( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dcusumors]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of double-precision floating-point strided array elements using ordinary recursive summation.</span>
-   <span class="signature">[`dcusumpw( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dcusumpw]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of double-precision floating-point strided array elements using pairwise summation.</span>
-   <span class="signature">[`ddiff( N, k, x, strideX, N1, prepend, strideP, N2, append, strideA, out, strideOut, workspace, strideW )`][@stdlib/blas/ext/base/ddiff]</span><span class="delimiter">: </span><span class="description">calculate the k-th discrete forward difference of a double-precision floating-point strided array.</span>
-   <span class="signature">[`dediff( N, x, strideX, N1, prepend, strideP, N2, append, strideA, out, strideOut )`][@stdlib/blas/ext/base/dediff]</span><span class="delimiter">: </span><span class="description">calculate the differences between consecutive elements of a double-precision floating-point strided array.</span>
-   <span class="signature">[`dfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dfill]</span><span class="delimiter">: </span><span class="description">fill a double-precision floating-point strided array with a specified scalar constant.</span>
-   <span class="signature">[`dindexOfColumn( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/dindex-of-column]</span><span class="delimiter">: </span><span class="description">return the index of the first column in a double-precision floating-point input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`dindexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/dindex-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the first row in a double-precision floating-point input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`dindexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/dindex-of]</span><span class="delimiter">: </span><span class="description">return the first index of a specified search element in a double-precision floating-point strided array.</span>
-   <span class="signature">[`dlastIndexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/dlast-index-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the last row in a double-precision floating-point input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`dlastIndexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/dlast-index-of]</span><span class="delimiter">: </span><span class="description">return the last index of a specified search element in a double-precision floating-point strided array.</span>
-   <span class="signature">[`dlinspace( N, start, stop, endpoint, x, strideX )`][@stdlib/blas/ext/base/dlinspace]</span><span class="delimiter">: </span><span class="description">fill a double-precision floating-point strided array with linearly spaced values over a specified interval.</span>
-   <span class="signature">[`dmskrev( N, x, strideX, mask, strideMask )`][@stdlib/blas/ext/base/dmskrev]</span><span class="delimiter">: </span><span class="description">reverse a double-precision floating-point strided array in-place according to a mask.</span>
-   <span class="signature">[`dnanasum( N, x, strideX )`][@stdlib/blas/ext/base/dnanasum]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values (_L1_ norm) of double-precision floating-point strided array elements, ignoring `NaN` values.</span>
-   <span class="signature">[`dnanasumors( N, x, strideX )`][@stdlib/blas/ext/base/dnanasumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values (_L1_ norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.</span>
-   <span class="signature">[`dnancount( N, x, strideX )`][@stdlib/blas/ext/base/dnancount]</span><span class="delimiter">: </span><span class="description">calculate the number of non-`NaN` elements in a double-precision floating-point strided array.</span>
-   <span class="signature">[`dnancusumkbn( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dnancusumkbn]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of double-precision floating-point strided array elements ignoring `NaN` values and using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`dnannsum( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/dnannsum]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values.</span>
-   <span class="signature">[`dnannsumkbn( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/dnannsumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`dnannsumkbn2( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/dnannsumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
-   <span class="signature">[`dnannsumors( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/dnannsumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.</span>
-   <span class="signature">[`dnannsumpw( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/dnannsumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.</span>
-   <span class="signature">[`dnansum( N, x, strideX )`][@stdlib/blas/ext/base/dnansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values.</span>
-   <span class="signature">[`dnansumkbn( N, x, strideX )`][@stdlib/blas/ext/base/dnansumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`dnansumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/dnansumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
-   <span class="signature">[`dnansumors( N, x, strideX )`][@stdlib/blas/ext/base/dnansumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.</span>
-   <span class="signature">[`dnansumpw( N, x, strideX )`][@stdlib/blas/ext/base/dnansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.</span>
-   <span class="signature">[`doneTo( N, x, strideX )`][@stdlib/blas/ext/base/done-to]</span><span class="delimiter">: </span><span class="description">fill a double-precision floating-point strided array with linearly spaced numeric elements which increment by `1` starting from one.</span>
-   <span class="signature">[`dones( N, x, strideX )`][@stdlib/blas/ext/base/dones]</span><span class="delimiter">: </span><span class="description">fill a double-precision floating-point strided array with ones.</span>
-   <span class="signature">[`drev( N, x, strideX )`][@stdlib/blas/ext/base/drev]</span><span class="delimiter">: </span><span class="description">reverse a double-precision floating-point strided array in-place.</span>
-   <span class="signature">[`drrss( N, x, strideX, y, strideY )`][@stdlib/blas/ext/base/drrss]</span><span class="delimiter">: </span><span class="description">calculate the square root of the residual sum of squares of two double-precision floating-point strided arrays.</span>
-   <span class="signature">[`drss( N, x, strideX, y, strideY )`][@stdlib/blas/ext/base/drss]</span><span class="delimiter">: </span><span class="description">calculate the residual sum of squares of two double-precision floating-point strided arrays.</span>
-   <span class="signature">[`drssbl( N, x, strideX, y, strideY )`][@stdlib/blas/ext/base/drssbl]</span><span class="delimiter">: </span><span class="description">calculate the residual sum of squares of two double-precision floating-point strided arrays using Blue's algorithm.</span>
-   <span class="signature">[`drsskbn( N, x, strideX, y, strideY )`][@stdlib/blas/ext/base/drsskbn]</span><span class="delimiter">: </span><span class="description">calculate the residual sum of squares of two double-precision floating-point strided arrays using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`dsapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dsapxsum]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element, and compute the sum using extended accumulation and returning an extended precision result.</span>
-   <span class="signature">[`dsapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dsapxsumpw]</span><span class="delimiter">: </span><span class="description">add a constant to each single-precision floating-point strided array element, and compute the sum using pairwise summation with extended accumulation and returning an extended precision result.</span>
-   <span class="signature">[`dsnannsumors( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/dsnannsumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.</span>
-   <span class="signature">[`dsnansum( N, x, strideX )`][@stdlib/blas/ext/base/dsnansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using extended accumulation, and returning an extended precision result.</span>
-   <span class="signature">[`dsnansumors( N, x, strideX )`][@stdlib/blas/ext/base/dsnansumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.</span>
-   <span class="signature">[`dsnansumpw( N, x, strideX )`][@stdlib/blas/ext/base/dsnansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using pairwise summation with extended accumulation, and returning an extended precision result.</span>
-   <span class="signature">[`dsort( N, order, x, strideX )`][@stdlib/blas/ext/base/dsort]</span><span class="delimiter">: </span><span class="description">sort a double-precision floating-point strided array.</span>
-   <span class="signature">[`dsort2hp( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dsort2hp]</span><span class="delimiter">: </span><span class="description">simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using heapsort.</span>
-   <span class="signature">[`dsort2ins( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dsort2ins]</span><span class="delimiter">: </span><span class="description">simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using insertion sort.</span>
-   <span class="signature">[`dsort2sh( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/dsort2sh]</span><span class="delimiter">: </span><span class="description">simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using Shellsort.</span>
-   <span class="signature">[`dsorthp( N, order, x, strideX )`][@stdlib/blas/ext/base/dsorthp]</span><span class="delimiter">: </span><span class="description">sort a double-precision floating-point strided array using heapsort.</span>
-   <span class="signature">[`dsortins( N, order, x, strideX )`][@stdlib/blas/ext/base/dsortins]</span><span class="delimiter">: </span><span class="description">sort a double-precision floating-point strided array using insertion sort.</span>
-   <span class="signature">[`dsortsh( N, order, x, stride )`][@stdlib/blas/ext/base/dsortsh]</span><span class="delimiter">: </span><span class="description">sort a double-precision floating-point strided array using Shellsort.</span>
-   <span class="signature">[`dssum( N, x, strideX )`][@stdlib/blas/ext/base/dssum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.</span>
-   <span class="signature">[`dssumors( N, x, strideX )`][@stdlib/blas/ext/base/dssumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation with extended accumulation and returning an extended precision result.</span>
-   <span class="signature">[`dssumpw( N, x, strideX )`][@stdlib/blas/ext/base/dssumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation and returning an extended precision result.</span>
-   <span class="signature">[`dsum( N, x, strideX )`][@stdlib/blas/ext/base/dsum]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements.</span>
-   <span class="signature">[`dsumkbn( N, x, strideX )`][@stdlib/blas/ext/base/dsumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`dsumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/dsumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
-   <span class="signature">[`dsumors( N, x, strideX )`][@stdlib/blas/ext/base/dsumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements using ordinary recursive summation.</span>
-   <span class="signature">[`dsumpw( N, x, strideX )`][@stdlib/blas/ext/base/dsumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements using pairwise summation.</span>
-   <span class="signature">[`dunitspace( N, start, x, strideX )`][@stdlib/blas/ext/base/dunitspace]</span><span class="delimiter">: </span><span class="description">fill a double-precision floating-point strided array with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
-   <span class="signature">[`dvander( order, mode, M, N, x, strideX, out, ldo )`][@stdlib/blas/ext/base/dvander]</span><span class="delimiter">: </span><span class="description">generate a double-precision floating-point Vandermonde matrix.</span>
-   <span class="signature">[`dwhere( N, condition, strideC, x, strideX, y, strideY, out, strideOut )`][@stdlib/blas/ext/base/dwhere]</span><span class="delimiter">: </span><span class="description">take elements from one of two double-precision floating-point strided arrays depending on a condition.</span>
-   <span class="signature">[`dxsa( N, alpha, x, strideX )`][@stdlib/blas/ext/base/dxsa]</span><span class="delimiter">: </span><span class="description">subtract a scalar constant from each element in a double-precision floating-point strided array.</span>
-   <span class="signature">[`dzeroTo( N, x, strideX )`][@stdlib/blas/ext/base/dzero-to]</span><span class="delimiter">: </span><span class="description">fill a double-precision floating-point strided array with linearly spaced numeric elements which increment by `1` starting from zero.</span>
-   <span class="signature">[`dzeros( N, x, strideX )`][@stdlib/blas/ext/base/dzeros]</span><span class="delimiter">: </span><span class="description">fill a double-precision floating-point strided array with zeros.</span>
-   <span class="signature">[`gapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapx]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each element in a strided array.</span>
-   <span class="signature">[`gapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapxsum]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each strided array element and compute the sum.</span>
-   <span class="signature">[`gapxsumkbn( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`gapxsumkbn2( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapxsumkbn2]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.</span>
-   <span class="signature">[`gapxsumors( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapxsumors]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each strided array element and compute the sum using ordinary recursive summation.</span>
-   <span class="signature">[`gapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gapxsumpw]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each strided array element and compute the sum using pairwise summation.</span>
-   <span class="signature">[`gasumpw( N, x, strideX )`][@stdlib/blas/ext/base/gasumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values (_L1_ norm) of strided array elements using pairwise summation.</span>
-   <span class="signature">[`gaxpb( N, alpha, beta, x, strideX )`][@stdlib/blas/ext/base/gaxpb]</span><span class="delimiter">: </span><span class="description">multiply each element in a strided array by a scalar constant and add a scalar constant to each result.</span>
-   <span class="signature">[`gaxpby( N, alpha, x, strideX, beta, y, strideY )`][@stdlib/blas/ext/base/gaxpby]</span><span class="delimiter">: </span><span class="description">multiply a strided array `x` by a constant and add the result to a strided array `y` multiplied by a constant.</span>
-   <span class="signature">[`gcartesianPower( order, N, k, x, strideX, out, LDO )`][@stdlib/blas/ext/base/gcartesian-power]</span><span class="delimiter">: </span><span class="description">compute the Cartesian power for a strided array.</span>
-   <span class="signature">[`gcartesianSquare( order, N, x, strideX, out, LDO )`][@stdlib/blas/ext/base/gcartesian-square]</span><span class="delimiter">: </span><span class="description">compute the Cartesian square for a strided array.</span>
-   <span class="signature">[`gcircshift( N, k, x, strideX )`][@stdlib/blas/ext/base/gcircshift]</span><span class="delimiter">: </span><span class="description">circularly shift the elements of a strided array by a specified number of positions.</span>
-   <span class="signature">[`gconjoin( N, prefix, suffix, conjunction, oxfordComma, x, strideX )`][@stdlib/blas/ext/base/gconjoin]</span><span class="delimiter">: </span><span class="description">return a string created by joining strided array elements into a human-readable list using a conjunction.</span>
-   <span class="signature">[`gcuany( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/gcuany]</span><span class="delimiter">: </span><span class="description">cumulatively test whether at least one element in a strided array is truthy.</span>
-   <span class="signature">[`gcuevery( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/gcuevery]</span><span class="delimiter">: </span><span class="description">cumulatively test whether every element in a strided array is truthy.</span>
-   <span class="signature">[`gcunone( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/gcunone]</span><span class="delimiter">: </span><span class="description">cumulatively test whether every element in a strided array is falsy.</span>
-   <span class="signature">[`gcusome( N, k, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/gcusome]</span><span class="delimiter">: </span><span class="description">cumulatively test whether at least `k` elements in a strided array are truthy.</span>
-   <span class="signature">[`gcusum( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gcusum]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of strided array elements.</span>
-   <span class="signature">[`gcusumkbn( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gcusumkbn]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of strided array elements using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`gcusumkbn2( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gcusumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
-   <span class="signature">[`gcusumors( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gcusumors]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of strided array elements using ordinary recursive summation.</span>
-   <span class="signature">[`gcusumpw( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gcusumpw]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of strided array elements using pairwise summation.</span>
-   <span class="signature">[`gdiff( N, k, x, strideX, N1, prepend, strideP, N2, append, strideA, out, strideOut, workspace, strideW )`][@stdlib/blas/ext/base/gdiff]</span><span class="delimiter">: </span><span class="description">calculate the k-th discrete forward difference of a strided array.</span>
-   <span class="signature">[`gfillBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/blas/ext/base/gfill-by]</span><span class="delimiter">: </span><span class="description">fill a strided array according to a provided callback function.</span>
-   <span class="signature">[`gfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gfill]</span><span class="delimiter">: </span><span class="description">fill a strided array with a specified scalar constant.</span>
-   <span class="signature">[`gfindIndex( N, x, strideX, clbk[, thisArg] )`][@stdlib/blas/ext/base/gfind-index]</span><span class="delimiter">: </span><span class="description">return the index of the first element which passes a test implemented by a predicate function.</span>
-   <span class="signature">[`gfindLastIndex( N, x, strideX, clbk[, thisArg] )`][@stdlib/blas/ext/base/gfind-last-index]</span><span class="delimiter">: </span><span class="description">return the index of the last element which passes a test implemented by a predicate function.</span>
-   <span class="signature">[`gindexOfColumn( order, M, N, A, LDA, x, strideX )`][@stdlib/blas/ext/base/gindex-of-column]</span><span class="delimiter">: </span><span class="description">return the index of the first column in an input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`gindexOfRow( order, M, N, A, LDA, x, strideX )`][@stdlib/blas/ext/base/gindex-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the first row in an input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`gindexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/gindex-of]</span><span class="delimiter">: </span><span class="description">return the first index of a specified search element in a strided array.</span>
-   <span class="signature">[`gjoinBetween( N, prefix, suffix, x, strideX, separators, strideS )`][@stdlib/blas/ext/base/gjoin-between]</span><span class="delimiter">: </span><span class="description">return a string by joining strided array elements using a specified separator for each pair of consecutive elements.</span>
-   <span class="signature">[`gjoin( N, separator, x, strideX )`][@stdlib/blas/ext/base/gjoin]</span><span class="delimiter">: </span><span class="description">return a string created by joining strided array elements using a specified separator.</span>
-   <span class="signature">[`glastIndexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/glast-index-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the last row in an input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`glastIndexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/glast-index-of]</span><span class="delimiter">: </span><span class="description">return the last index of a specified search element in a strided array.</span>
-   <span class="signature">[`glinspace( N, start, stop, endpoint, x, strideX )`][@stdlib/blas/ext/base/glinspace]</span><span class="delimiter">: </span><span class="description">fill a strided array with linearly spaced values over a specified interval.</span>
-   <span class="signature">[`gmskrev( N, x, strideX, mask, strideMask )`][@stdlib/blas/ext/base/gmskrev]</span><span class="delimiter">: </span><span class="description">reverse a strided array in-place according to a mask.</span>
-   <span class="signature">[`gnancount( N, x, strideX )`][@stdlib/blas/ext/base/gnancount]</span><span class="delimiter">: </span><span class="description">calculate the number of non-`NaN` elements in a strided array.</span>
-   <span class="signature">[`gnannsumkbn( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/gnannsumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`gnannsumpw( N, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/gnannsumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements, ignoring `NaN` values and using pairwise summation.</span>
-   <span class="signature">[`gnansum( N, x, strideX )`][@stdlib/blas/ext/base/gnansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements, ignoring `NaN` values.</span>
-   <span class="signature">[`gnansumkbn( N, x, strideX )`][@stdlib/blas/ext/base/gnansumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`gnansumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/gnansumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
-   <span class="signature">[`gnansumors( N, x, strideX )`][@stdlib/blas/ext/base/gnansumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements, ignoring `NaN` values and using ordinary recursive summation.</span>
-   <span class="signature">[`gnansumpw( N, x, strideX )`][@stdlib/blas/ext/base/gnansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements, ignoring `NaN` values and using pairwise summation.</span>
-   <span class="signature">[`goneTo( N, x, strideX )`][@stdlib/blas/ext/base/gone-to]</span><span class="delimiter">: </span><span class="description">fill a strided array with linearly spaced numeric elements which increment by `1` starting from one.</span>
-   <span class="signature">[`greplicate( N, k, x, strideX, out, strideOut )`][@stdlib/blas/ext/base/greplicate]</span><span class="delimiter">: </span><span class="description">replicate each strided array element a specified number of times.</span>
-   <span class="signature">[`grev( N, x, strideX )`][@stdlib/blas/ext/base/grev]</span><span class="delimiter">: </span><span class="description">reverse a strided array in-place.</span>
-   <span class="signature">[`gsort( N, order, x, strideX )`][@stdlib/blas/ext/base/gsort]</span><span class="delimiter">: </span><span class="description">sort a strided array.</span>
-   <span class="signature">[`gsort2hp( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gsort2hp]</span><span class="delimiter">: </span><span class="description">simultaneously sort two strided arrays based on the sort order of the first array using heapsort.</span>
-   <span class="signature">[`gsort2ins( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gsort2ins]</span><span class="delimiter">: </span><span class="description">simultaneously sort two strided arrays based on the sort order of the first array using insertion sort.</span>
-   <span class="signature">[`gsort2sh( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gsort2sh]</span><span class="delimiter">: </span><span class="description">simultaneously sort two strided arrays based on the sort order of the first array using Shellsort.</span>
-   <span class="signature">[`gsorthp( N, order, x, strideX )`][@stdlib/blas/ext/base/gsorthp]</span><span class="delimiter">: </span><span class="description">sort a strided array using heapsort.</span>
-   <span class="signature">[`gsortins( N, order, x, strideX )`][@stdlib/blas/ext/base/gsortins]</span><span class="delimiter">: </span><span class="description">sort a strided array using insertion sort.</span>
-   <span class="signature">[`gsortsh( N, order, x, strideX )`][@stdlib/blas/ext/base/gsortsh]</span><span class="delimiter">: </span><span class="description">sort a strided array using Shellsort.</span>
-   <span class="signature">[`gsum( N, x, strideX )`][@stdlib/blas/ext/base/gsum]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements.</span>
-   <span class="signature">[`gsumkbn( N, x, strideX )`][@stdlib/blas/ext/base/gsumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`gsumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/gsumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
-   <span class="signature">[`gsumors( N, x, strideX )`][@stdlib/blas/ext/base/gsumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using ordinary recursive summation.</span>
-   <span class="signature">[`gsumpw( N, x, strideX )`][@stdlib/blas/ext/base/gsumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements using pairwise summation.</span>
-   <span class="signature">[`gunitspace( N, start, x, strideX )`][@stdlib/blas/ext/base/gunitspace]</span><span class="delimiter">: </span><span class="description">fill a strided array with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
-   <span class="signature">[`gvander( order, mode, M, N, x, strideX, out, ldo )`][@stdlib/blas/ext/base/gvander]</span><span class="delimiter">: </span><span class="description">generate a Vandermonde matrix.</span>
-   <span class="signature">[`gwapx( N, alpha, x, strideX, w, strideW )`][@stdlib/blas/ext/base/gwapx]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each element in a strided array `x` and assign the results to elements in a strided array `w`.</span>
-   <span class="signature">[`gwhere( N, condition, strideC, x, strideX, y, strideY, out, strideOut )`][@stdlib/blas/ext/base/gwhere]</span><span class="delimiter">: </span><span class="description">take elements from one of two strided arrays depending on a condition.</span>
-   <span class="signature">[`gwxsa( N, alpha, x, strideX, w, strideW )`][@stdlib/blas/ext/base/gwxsa]</span><span class="delimiter">: </span><span class="description">subtract a scalar constant from each element in a strided array `x` and assign the results to elements in a strided array `w`.</span>
-   <span class="signature">[`gxpy( N, x, strideX, y, strideY )`][@stdlib/blas/ext/base/gxpy]</span><span class="delimiter">: </span><span class="description">add elements of a strided array `x` to the corresponding elements of a strided array `y` and assign the results to `y`.</span>
-   <span class="signature">[`gxsa( N, alpha, x, strideX )`][@stdlib/blas/ext/base/gxsa]</span><span class="delimiter">: </span><span class="description">subtract a scalar constant from each element in a strided array.</span>
-   <span class="signature">[`gzeroTo( N, x, strideX )`][@stdlib/blas/ext/base/gzero-to]</span><span class="delimiter">: </span><span class="description">fill a strided array with linearly spaced numeric elements which increment by `1` starting from zero.</span>
-   <span class="signature">[`ndarray`][@stdlib/blas/ext/base/ndarray]</span><span class="delimiter">: </span><span class="description">base ndarray extended BLAS functions.</span>
-   <span class="signature">[`sapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapx]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each element in a single-precision floating-point strided array.</span>
-   <span class="signature">[`sapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsum]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum.</span>
-   <span class="signature">[`sapxsumkbn( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumkbn]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`sapxsumkbn2( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumkbn2]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.</span>
-   <span class="signature">[`sapxsumors( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumors]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using ordinary recursive summation.</span>
-   <span class="signature">[`sapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sapxsumpw]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using pairwise summation.</span>
-   <span class="signature">[`sasumpw( N, x, strideX )`][@stdlib/blas/ext/base/sasumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of absolute values (_L1_ norm) of single-precision floating-point strided array elements using pairwise summation.</span>
-   <span class="signature">[`saxpb( N, alpha, beta, x, strideX )`][@stdlib/blas/ext/base/saxpb]</span><span class="delimiter">: </span><span class="description">multiply each element in a single-precision floating-point strided array by a scalar constant and add a scalar constant to each result.</span>
-   <span class="signature">[`saxpby( N, alpha, x, strideX, beta, y, strideY )`][@stdlib/blas/ext/base/saxpby]</span><span class="delimiter">: </span><span class="description">multiply a single-precision floating-point strided array `x` by a constant and add the result to a single-precision floating-point strided array `y` multiplied by a constant.</span>
-   <span class="signature">[`scartesianPower( order, N, k, x, strideX, out, LDO )`][@stdlib/blas/ext/base/scartesian-power]</span><span class="delimiter">: </span><span class="description">compute the Cartesian power for a single-precision floating-point strided array.</span>
-   <span class="signature">[`scartesianSquare( order, N, x, strideX, out, LDO )`][@stdlib/blas/ext/base/scartesian-square]</span><span class="delimiter">: </span><span class="description">compute the Cartesian square for a single-precision floating-point strided array.</span>
-   <span class="signature">[`scircshift( N, k, x, strideX )`][@stdlib/blas/ext/base/scircshift]</span><span class="delimiter">: </span><span class="description">circularly shift the elements of a single-precision floating-point strided array by a specified number of positions.</span>
-   <span class="signature">[`scusum( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusum]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements.</span>
-   <span class="signature">[`scusumkbn( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumkbn]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`scusumkbn2( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
-   <span class="signature">[`scusumors( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumors]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements using ordinary recursive summation.</span>
-   <span class="signature">[`scusumpw( N, sum, x, strideX, y, strideY )`][@stdlib/blas/ext/base/scusumpw]</span><span class="delimiter">: </span><span class="description">calculate the cumulative sum of single-precision floating-point strided array elements using pairwise summation.</span>
-   <span class="signature">[`sdiff( N, k, x, strideX, N1, prepend, strideP, N2, append, strideA, out, strideOut, workspace, strideW )`][@stdlib/blas/ext/base/sdiff]</span><span class="delimiter">: </span><span class="description">calculate the k-th discrete forward difference of a single-precision floating-point strided array.</span>
-   <span class="signature">[`sdsapxsum( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sdsapxsum]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using extended accumulation.</span>
-   <span class="signature">[`sdsapxsumpw( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sdsapxsumpw]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each single-precision floating-point strided array element and compute the sum using pairwise summation with extended accumulation.</span>
-   <span class="signature">[`sdsnansum( N, x, strideX )`][@stdlib/blas/ext/base/sdsnansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using extended accumulation.</span>
-   <span class="signature">[`sdsnansumpw( N, x, strideX )`][@stdlib/blas/ext/base/sdsnansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation with extended accumulation.</span>
-   <span class="signature">[`sdssum( N, x, strideX )`][@stdlib/blas/ext/base/sdssum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using extended accumulation.</span>
-   <span class="signature">[`sdssumpw( N, x, strideX )`][@stdlib/blas/ext/base/sdssumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation.</span>
-   <span class="signature">[`sediff( N, x, strideX, N1, prepend, strideP, N2, append, strideA, out, strideOut )`][@stdlib/blas/ext/base/sediff]</span><span class="delimiter">: </span><span class="description">calculate the differences between consecutive elements of a single-precision floating-point strided array.</span>
-   <span class="signature">[`sfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sfill]</span><span class="delimiter">: </span><span class="description">fill a single-precision floating-point strided array with a specified scalar constant.</span>
-   <span class="signature">[`sindexOfColumn( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/sindex-of-column]</span><span class="delimiter">: </span><span class="description">return the index of the first column in a single-precision floating-point input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`sindexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/sindex-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the first row in a single-precision floating-point input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`sindexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/sindex-of]</span><span class="delimiter">: </span><span class="description">return the first index of a specified search element in a single-precision floating-point strided array.</span>
-   <span class="signature">[`slastIndexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/slast-index-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the last row in a single-precision floating-point input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`slastIndexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/slast-index-of]</span><span class="delimiter">: </span><span class="description">return the last index of a specified search element in a single-precision floating-point strided array.</span>
-   <span class="signature">[`slinspace( N, start, stop, endpoint, x, strideX )`][@stdlib/blas/ext/base/slinspace]</span><span class="delimiter">: </span><span class="description">fill a single-precision floating-point strided array with linearly spaced values over a specified interval.</span>
-   <span class="signature">[`smskrev( N, x, strideX, mask, strideMask )`][@stdlib/blas/ext/base/smskrev]</span><span class="delimiter">: </span><span class="description">reverse a single-precision floating-point strided array in-place according to a mask.</span>
-   <span class="signature">[`snancount( N, x, strideX )`][@stdlib/blas/ext/base/snancount]</span><span class="delimiter">: </span><span class="description">calculate the number of non-`NaN` elements in a single-precision floating-point strided array.</span>
-   <span class="signature">[`snansum( N, x, strideX )`][@stdlib/blas/ext/base/snansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values.</span>
-   <span class="signature">[`snansumkbn( N, x, strideX )`][@stdlib/blas/ext/base/snansumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`snansumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/snansumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.</span>
-   <span class="signature">[`snansumors( N, x, strideX )`][@stdlib/blas/ext/base/snansumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.</span>
-   <span class="signature">[`snansumpw( N, x, strideX )`][@stdlib/blas/ext/base/snansumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using pairwise summation.</span>
-   <span class="signature">[`soneTo( N, x, strideX )`][@stdlib/blas/ext/base/sone-to]</span><span class="delimiter">: </span><span class="description">fill a single-precision floating-point strided array with linearly spaced numeric elements which increment by `1` starting from one.</span>
-   <span class="signature">[`sones( N, x, strideX )`][@stdlib/blas/ext/base/sones]</span><span class="delimiter">: </span><span class="description">fill a single-precision floating-point strided array with ones.</span>
-   <span class="signature">[`srev( N, x, strideX )`][@stdlib/blas/ext/base/srev]</span><span class="delimiter">: </span><span class="description">reverse a single-precision floating-point strided array in-place.</span>
-   <span class="signature">[`ssort( N, order, x, strideX )`][@stdlib/blas/ext/base/ssort]</span><span class="delimiter">: </span><span class="description">sort a single-precision floating-point strided array.</span>
-   <span class="signature">[`ssort2hp( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/ssort2hp]</span><span class="delimiter">: </span><span class="description">simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using heapsort.</span>
-   <span class="signature">[`ssort2ins( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/ssort2ins]</span><span class="delimiter">: </span><span class="description">simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using insertion sort.</span>
-   <span class="signature">[`ssort2sh( N, order, x, strideX, y, strideY )`][@stdlib/blas/ext/base/ssort2sh]</span><span class="delimiter">: </span><span class="description">simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using Shellsort.</span>
-   <span class="signature">[`ssorthp( N, order, x, strideX )`][@stdlib/blas/ext/base/ssorthp]</span><span class="delimiter">: </span><span class="description">sort a single-precision floating-point strided array using heapsort.</span>
-   <span class="signature">[`ssortins( N, order, x, stride )`][@stdlib/blas/ext/base/ssortins]</span><span class="delimiter">: </span><span class="description">sort a single-precision floating-point strided array using insertion sort.</span>
-   <span class="signature">[`ssortsh( N, order, x, stride )`][@stdlib/blas/ext/base/ssortsh]</span><span class="delimiter">: </span><span class="description">sort a single-precision floating-point strided array using Shellsort.</span>
-   <span class="signature">[`ssum( N, x, strideX )`][@stdlib/blas/ext/base/ssum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements.</span>
-   <span class="signature">[`ssumkbn( N, x, strideX )`][@stdlib/blas/ext/base/ssumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`ssumkbn2( N, x, strideX )`][@stdlib/blas/ext/base/ssumkbn2]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.</span>
-   <span class="signature">[`ssumors( N, x, strideX )`][@stdlib/blas/ext/base/ssumors]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.</span>
-   <span class="signature">[`ssumpw( N, x, strideX )`][@stdlib/blas/ext/base/ssumpw]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements using pairwise summation.</span>
-   <span class="signature">[`sunitspace( N, start, x, strideX )`][@stdlib/blas/ext/base/sunitspace]</span><span class="delimiter">: </span><span class="description">fill a single-precision floating-point strided array with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
-   <span class="signature">[`svander( order, mode, M, N, x, strideX, out, ldo )`][@stdlib/blas/ext/base/svander]</span><span class="delimiter">: </span><span class="description">generate a single-precision floating-point Vandermonde matrix.</span>
-   <span class="signature">[`swhere( N, condition, strideC, x, strideX, y, strideY, out, strideOut )`][@stdlib/blas/ext/base/swhere]</span><span class="delimiter">: </span><span class="description">take elements from one of two single-precision floating-point strided arrays depending on a condition.</span>
-   <span class="signature">[`sxsa( N, alpha, x, strideX )`][@stdlib/blas/ext/base/sxsa]</span><span class="delimiter">: </span><span class="description">subtract a scalar constant from each element in a single-precision floating-point strided array.</span>
-   <span class="signature">[`szeroTo( N, x, strideX )`][@stdlib/blas/ext/base/szero-to]</span><span class="delimiter">: </span><span class="description">fill a single-precision floating-point strided array with linearly spaced numeric elements which increment by `1` starting from zero.</span>
-   <span class="signature">[`szeros( N, x, strideX )`][@stdlib/blas/ext/base/szeros]</span><span class="delimiter">: </span><span class="description">fill a single-precision floating-point strided array with zeros.</span>
-   <span class="signature">[`wasm`][@stdlib/blas/ext/base/wasm]</span><span class="delimiter">: </span><span class="description">extensions to basic linear algebra subprograms (BLAS) compiled to WebAssembly.</span>
-   <span class="signature">[`zapx( N, alpha, x, strideX )`][@stdlib/blas/ext/base/zapx]</span><span class="delimiter">: </span><span class="description">add a scalar constant to each element in a double-precision complex floating-point strided array.</span>
-   <span class="signature">[`zaxpb( N, alpha, beta, x, strideX )`][@stdlib/blas/ext/base/zaxpb]</span><span class="delimiter">: </span><span class="description">multiply each element in a double-precision complex floating-point strided array by a scalar constant and add a scalar constant to each result.</span>
-   <span class="signature">[`zdiff( N, k, x, strideX, N1, prepend, strideP, N2, append, strideA, out, strideOut, workspace, strideW )`][@stdlib/blas/ext/base/zdiff]</span><span class="delimiter">: </span><span class="description">calculate the k-th discrete forward difference of a double-precision complex floating-point strided array.</span>
-   <span class="signature">[`zfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/zfill]</span><span class="delimiter">: </span><span class="description">fill a double-precision complex floating-point strided array with a specified scalar constant.</span>
-   <span class="signature">[`zindexOfColumn( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/zindex-of-column]</span><span class="delimiter">: </span><span class="description">return the index of the first column in a double-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`zindexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/zindex-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the first row in a double-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`zindexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/zindex-of]</span><span class="delimiter">: </span><span class="description">return the first index of a specified search element in a double-precision complex floating-point strided array.</span>
-   <span class="signature">[`zlastIndexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/zlast-index-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the last row in a double-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
-   <span class="signature">[`znancount( N, x, strideX )`][@stdlib/blas/ext/base/znancount]</span><span class="delimiter">: </span><span class="description">calculate the number of non-`NaN` elements in a double-precision complex floating-point strided array.</span>
-   <span class="signature">[`zoneTo( N, x, strideX )`][@stdlib/blas/ext/base/zone-to]</span><span class="delimiter">: </span><span class="description">fill a double-precision complex floating-point strided array with linearly spaced numeric elements which increment by `1` starting from one.</span>
-   <span class="signature">[`zsum( N, x, strideX )`][@stdlib/blas/ext/base/zsum]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision complex floating-point strided array elements.</span>
-   <span class="signature">[`zsumkbn( N, x, strideX )`][@stdlib/blas/ext/base/zsumkbn]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision complex floating-point strided array elements using an improved Kahan–Babuška algorithm.</span>
-   <span class="signature">[`zunitspace( N, start, x, strideX )`][@stdlib/blas/ext/base/zunitspace]</span><span class="delimiter">: </span><span class="description">fill a double-precision complex floating-point strided array with linearly spaced numeric elements which increment by `1` starting from a specified value.</span>
-   <span class="signature">[`zwhere( N, condition, strideC, x, strideX, y, strideY, out, strideOut )`][@stdlib/blas/ext/base/zwhere]</span><span class="delimiter">: </span><span class="description">take elements from one of two double-precision complex floating-point strided arrays depending on a condition.</span>
-   <span class="signature">[`zxsa( N, alpha, x, strideX )`][@stdlib/blas/ext/base/zxsa]</span><span class="delimiter">: </span><span class="description">subtract a scalar constant from each element in a double-precision complex floating-point strided array.</span>
-   <span class="signature">[`zzeroTo( N, x, strideX )`][@stdlib/blas/ext/base/zzero-to]</span><span class="delimiter">: </span><span class="description">fill a double-precision complex floating-point strided array with linearly spaced numeric elements which increment by `1` starting from zero.</span>

</div>

<!-- </toc> -->

</section>

<!-- /.usage -->

<!-- Package notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="notes">

</section>

<!-- /.notes -->

<section class="examples">

## Examples

<!-- TODO: better examples -->

<!-- eslint no-undef: "error" -->

```javascript
var objectKeys = require( '@stdlib/utils/keys' );
var ns = require( '@stdlib/blas/ext/base' );

console.log( objectKeys( ns ) );
```

</section>

<!-- /.examples -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

</section>

<!-- /.related -->

<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="links">

<!-- <toc-links> -->

[@stdlib/blas/ext/base/capx]: https://github.com/stdlib-js/blas/tree/main/ext/base/capx

[@stdlib/blas/ext/base/caxpb]: https://github.com/stdlib-js/blas/tree/main/ext/base/caxpb

[@stdlib/blas/ext/base/cdiff]: https://github.com/stdlib-js/blas/tree/main/ext/base/cdiff

[@stdlib/blas/ext/base/cfill]: https://github.com/stdlib-js/blas/tree/main/ext/base/cfill

[@stdlib/blas/ext/base/cindex-of-column]: https://github.com/stdlib-js/blas/tree/main/ext/base/cindex-of-column

[@stdlib/blas/ext/base/cindex-of-row]: https://github.com/stdlib-js/blas/tree/main/ext/base/cindex-of-row

[@stdlib/blas/ext/base/cindex-of]: https://github.com/stdlib-js/blas/tree/main/ext/base/cindex-of

[@stdlib/blas/ext/base/clast-index-of-row]: https://github.com/stdlib-js/blas/tree/main/ext/base/clast-index-of-row

[@stdlib/blas/ext/base/cone-to]: https://github.com/stdlib-js/blas/tree/main/ext/base/cone-to

[@stdlib/blas/ext/base/csum]: https://github.com/stdlib-js/blas/tree/main/ext/base/csum

[@stdlib/blas/ext/base/csumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/csumkbn

[@stdlib/blas/ext/base/cunitspace]: https://github.com/stdlib-js/blas/tree/main/ext/base/cunitspace

[@stdlib/blas/ext/base/cwhere]: https://github.com/stdlib-js/blas/tree/main/ext/base/cwhere

[@stdlib/blas/ext/base/cxsa]: https://github.com/stdlib-js/blas/tree/main/ext/base/cxsa

[@stdlib/blas/ext/base/czero-to]: https://github.com/stdlib-js/blas/tree/main/ext/base/czero-to

[@stdlib/blas/ext/base/dapx]: https://github.com/stdlib-js/blas/tree/main/ext/base/dapx

[@stdlib/blas/ext/base/dapxsum]: https://github.com/stdlib-js/blas/tree/main/ext/base/dapxsum

[@stdlib/blas/ext/base/dapxsumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/dapxsumkbn

[@stdlib/blas/ext/base/dapxsumkbn2]: https://github.com/stdlib-js/blas/tree/main/ext/base/dapxsumkbn2

[@stdlib/blas/ext/base/dapxsumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/dapxsumors

[@stdlib/blas/ext/base/dapxsumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/dapxsumpw

[@stdlib/blas/ext/base/dasumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/dasumpw

[@stdlib/blas/ext/base/daxpb]: https://github.com/stdlib-js/blas/tree/main/ext/base/daxpb

[@stdlib/blas/ext/base/dcartesian-power]: https://github.com/stdlib-js/blas/tree/main/ext/base/dcartesian-power

[@stdlib/blas/ext/base/dcartesian-product]: https://github.com/stdlib-js/blas/tree/main/ext/base/dcartesian-product

[@stdlib/blas/ext/base/dcartesian-square]: https://github.com/stdlib-js/blas/tree/main/ext/base/dcartesian-square

[@stdlib/blas/ext/base/dcircshift]: https://github.com/stdlib-js/blas/tree/main/ext/base/dcircshift

[@stdlib/blas/ext/base/dcusum]: https://github.com/stdlib-js/blas/tree/main/ext/base/dcusum

[@stdlib/blas/ext/base/dcusumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/dcusumkbn

[@stdlib/blas/ext/base/dcusumkbn2]: https://github.com/stdlib-js/blas/tree/main/ext/base/dcusumkbn2

[@stdlib/blas/ext/base/dcusumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/dcusumors

[@stdlib/blas/ext/base/dcusumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/dcusumpw

[@stdlib/blas/ext/base/ddiff]: https://github.com/stdlib-js/blas/tree/main/ext/base/ddiff

[@stdlib/blas/ext/base/dediff]: https://github.com/stdlib-js/blas/tree/main/ext/base/dediff

[@stdlib/blas/ext/base/dfill]: https://github.com/stdlib-js/blas/tree/main/ext/base/dfill

[@stdlib/blas/ext/base/dindex-of-column]: https://github.com/stdlib-js/blas/tree/main/ext/base/dindex-of-column

[@stdlib/blas/ext/base/dindex-of-row]: https://github.com/stdlib-js/blas/tree/main/ext/base/dindex-of-row

[@stdlib/blas/ext/base/dindex-of]: https://github.com/stdlib-js/blas/tree/main/ext/base/dindex-of

[@stdlib/blas/ext/base/dlast-index-of-row]: https://github.com/stdlib-js/blas/tree/main/ext/base/dlast-index-of-row

[@stdlib/blas/ext/base/dlast-index-of]: https://github.com/stdlib-js/blas/tree/main/ext/base/dlast-index-of

[@stdlib/blas/ext/base/dlinspace]: https://github.com/stdlib-js/blas/tree/main/ext/base/dlinspace

[@stdlib/blas/ext/base/dmskrev]: https://github.com/stdlib-js/blas/tree/main/ext/base/dmskrev

[@stdlib/blas/ext/base/dnanasum]: https://github.com/stdlib-js/blas/tree/main/ext/base/dnanasum

[@stdlib/blas/ext/base/dnanasumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/dnanasumors

[@stdlib/blas/ext/base/dnancount]: https://github.com/stdlib-js/blas/tree/main/ext/base/dnancount

[@stdlib/blas/ext/base/dnancusumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/dnancusumkbn

[@stdlib/blas/ext/base/dnannsum]: https://github.com/stdlib-js/blas/tree/main/ext/base/dnannsum

[@stdlib/blas/ext/base/dnannsumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/dnannsumkbn

[@stdlib/blas/ext/base/dnannsumkbn2]: https://github.com/stdlib-js/blas/tree/main/ext/base/dnannsumkbn2

[@stdlib/blas/ext/base/dnannsumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/dnannsumors

[@stdlib/blas/ext/base/dnannsumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/dnannsumpw

[@stdlib/blas/ext/base/dnansum]: https://github.com/stdlib-js/blas/tree/main/ext/base/dnansum

[@stdlib/blas/ext/base/dnansumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/dnansumkbn

[@stdlib/blas/ext/base/dnansumkbn2]: https://github.com/stdlib-js/blas/tree/main/ext/base/dnansumkbn2

[@stdlib/blas/ext/base/dnansumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/dnansumors

[@stdlib/blas/ext/base/dnansumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/dnansumpw

[@stdlib/blas/ext/base/done-to]: https://github.com/stdlib-js/blas/tree/main/ext/base/done-to

[@stdlib/blas/ext/base/dones]: https://github.com/stdlib-js/blas/tree/main/ext/base/dones

[@stdlib/blas/ext/base/drev]: https://github.com/stdlib-js/blas/tree/main/ext/base/drev

[@stdlib/blas/ext/base/drrss]: https://github.com/stdlib-js/blas/tree/main/ext/base/drrss

[@stdlib/blas/ext/base/drss]: https://github.com/stdlib-js/blas/tree/main/ext/base/drss

[@stdlib/blas/ext/base/drssbl]: https://github.com/stdlib-js/blas/tree/main/ext/base/drssbl

[@stdlib/blas/ext/base/drsskbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/drsskbn

[@stdlib/blas/ext/base/dsapxsum]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsapxsum

[@stdlib/blas/ext/base/dsapxsumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsapxsumpw

[@stdlib/blas/ext/base/dsnannsumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsnannsumors

[@stdlib/blas/ext/base/dsnansum]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsnansum

[@stdlib/blas/ext/base/dsnansumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsnansumors

[@stdlib/blas/ext/base/dsnansumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsnansumpw

[@stdlib/blas/ext/base/dsort]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsort

[@stdlib/blas/ext/base/dsort2hp]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsort2hp

[@stdlib/blas/ext/base/dsort2ins]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsort2ins

[@stdlib/blas/ext/base/dsort2sh]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsort2sh

[@stdlib/blas/ext/base/dsorthp]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsorthp

[@stdlib/blas/ext/base/dsortins]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsortins

[@stdlib/blas/ext/base/dsortsh]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsortsh

[@stdlib/blas/ext/base/dssum]: https://github.com/stdlib-js/blas/tree/main/ext/base/dssum

[@stdlib/blas/ext/base/dssumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/dssumors

[@stdlib/blas/ext/base/dssumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/dssumpw

[@stdlib/blas/ext/base/dsum]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsum

[@stdlib/blas/ext/base/dsumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsumkbn

[@stdlib/blas/ext/base/dsumkbn2]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsumkbn2

[@stdlib/blas/ext/base/dsumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsumors

[@stdlib/blas/ext/base/dsumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/dsumpw

[@stdlib/blas/ext/base/dunitspace]: https://github.com/stdlib-js/blas/tree/main/ext/base/dunitspace

[@stdlib/blas/ext/base/dvander]: https://github.com/stdlib-js/blas/tree/main/ext/base/dvander

[@stdlib/blas/ext/base/dwhere]: https://github.com/stdlib-js/blas/tree/main/ext/base/dwhere

[@stdlib/blas/ext/base/dxsa]: https://github.com/stdlib-js/blas/tree/main/ext/base/dxsa

[@stdlib/blas/ext/base/dzero-to]: https://github.com/stdlib-js/blas/tree/main/ext/base/dzero-to

[@stdlib/blas/ext/base/dzeros]: https://github.com/stdlib-js/blas/tree/main/ext/base/dzeros

[@stdlib/blas/ext/base/gapx]: https://github.com/stdlib-js/blas/tree/main/ext/base/gapx

[@stdlib/blas/ext/base/gapxsum]: https://github.com/stdlib-js/blas/tree/main/ext/base/gapxsum

[@stdlib/blas/ext/base/gapxsumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/gapxsumkbn

[@stdlib/blas/ext/base/gapxsumkbn2]: https://github.com/stdlib-js/blas/tree/main/ext/base/gapxsumkbn2

[@stdlib/blas/ext/base/gapxsumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/gapxsumors

[@stdlib/blas/ext/base/gapxsumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/gapxsumpw

[@stdlib/blas/ext/base/gasumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/gasumpw

[@stdlib/blas/ext/base/gaxpb]: https://github.com/stdlib-js/blas/tree/main/ext/base/gaxpb

[@stdlib/blas/ext/base/gaxpby]: https://github.com/stdlib-js/blas/tree/main/ext/base/gaxpby

[@stdlib/blas/ext/base/gcartesian-power]: https://github.com/stdlib-js/blas/tree/main/ext/base/gcartesian-power

[@stdlib/blas/ext/base/gcartesian-square]: https://github.com/stdlib-js/blas/tree/main/ext/base/gcartesian-square

[@stdlib/blas/ext/base/gcircshift]: https://github.com/stdlib-js/blas/tree/main/ext/base/gcircshift

[@stdlib/blas/ext/base/gconjoin]: https://github.com/stdlib-js/blas/tree/main/ext/base/gconjoin

[@stdlib/blas/ext/base/gcuany]: https://github.com/stdlib-js/blas/tree/main/ext/base/gcuany

[@stdlib/blas/ext/base/gcuevery]: https://github.com/stdlib-js/blas/tree/main/ext/base/gcuevery

[@stdlib/blas/ext/base/gcunone]: https://github.com/stdlib-js/blas/tree/main/ext/base/gcunone

[@stdlib/blas/ext/base/gcusome]: https://github.com/stdlib-js/blas/tree/main/ext/base/gcusome

[@stdlib/blas/ext/base/gcusum]: https://github.com/stdlib-js/blas/tree/main/ext/base/gcusum

[@stdlib/blas/ext/base/gcusumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/gcusumkbn

[@stdlib/blas/ext/base/gcusumkbn2]: https://github.com/stdlib-js/blas/tree/main/ext/base/gcusumkbn2

[@stdlib/blas/ext/base/gcusumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/gcusumors

[@stdlib/blas/ext/base/gcusumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/gcusumpw

[@stdlib/blas/ext/base/gdiff]: https://github.com/stdlib-js/blas/tree/main/ext/base/gdiff

[@stdlib/blas/ext/base/gfill-by]: https://github.com/stdlib-js/blas/tree/main/ext/base/gfill-by

[@stdlib/blas/ext/base/gfill]: https://github.com/stdlib-js/blas/tree/main/ext/base/gfill

[@stdlib/blas/ext/base/gfind-index]: https://github.com/stdlib-js/blas/tree/main/ext/base/gfind-index

[@stdlib/blas/ext/base/gfind-last-index]: https://github.com/stdlib-js/blas/tree/main/ext/base/gfind-last-index

[@stdlib/blas/ext/base/gindex-of-column]: https://github.com/stdlib-js/blas/tree/main/ext/base/gindex-of-column

[@stdlib/blas/ext/base/gindex-of-row]: https://github.com/stdlib-js/blas/tree/main/ext/base/gindex-of-row

[@stdlib/blas/ext/base/gindex-of]: https://github.com/stdlib-js/blas/tree/main/ext/base/gindex-of

[@stdlib/blas/ext/base/gjoin-between]: https://github.com/stdlib-js/blas/tree/main/ext/base/gjoin-between

[@stdlib/blas/ext/base/gjoin]: https://github.com/stdlib-js/blas/tree/main/ext/base/gjoin

[@stdlib/blas/ext/base/glast-index-of-row]: https://github.com/stdlib-js/blas/tree/main/ext/base/glast-index-of-row

[@stdlib/blas/ext/base/glast-index-of]: https://github.com/stdlib-js/blas/tree/main/ext/base/glast-index-of

[@stdlib/blas/ext/base/glinspace]: https://github.com/stdlib-js/blas/tree/main/ext/base/glinspace

[@stdlib/blas/ext/base/gmskrev]: https://github.com/stdlib-js/blas/tree/main/ext/base/gmskrev

[@stdlib/blas/ext/base/gnancount]: https://github.com/stdlib-js/blas/tree/main/ext/base/gnancount

[@stdlib/blas/ext/base/gnannsumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/gnannsumkbn

[@stdlib/blas/ext/base/gnannsumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/gnannsumpw

[@stdlib/blas/ext/base/gnansum]: https://github.com/stdlib-js/blas/tree/main/ext/base/gnansum

[@stdlib/blas/ext/base/gnansumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/gnansumkbn

[@stdlib/blas/ext/base/gnansumkbn2]: https://github.com/stdlib-js/blas/tree/main/ext/base/gnansumkbn2

[@stdlib/blas/ext/base/gnansumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/gnansumors

[@stdlib/blas/ext/base/gnansumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/gnansumpw

[@stdlib/blas/ext/base/gone-to]: https://github.com/stdlib-js/blas/tree/main/ext/base/gone-to

[@stdlib/blas/ext/base/greplicate]: https://github.com/stdlib-js/blas/tree/main/ext/base/greplicate

[@stdlib/blas/ext/base/grev]: https://github.com/stdlib-js/blas/tree/main/ext/base/grev

[@stdlib/blas/ext/base/gsort]: https://github.com/stdlib-js/blas/tree/main/ext/base/gsort

[@stdlib/blas/ext/base/gsort2hp]: https://github.com/stdlib-js/blas/tree/main/ext/base/gsort2hp

[@stdlib/blas/ext/base/gsort2ins]: https://github.com/stdlib-js/blas/tree/main/ext/base/gsort2ins

[@stdlib/blas/ext/base/gsort2sh]: https://github.com/stdlib-js/blas/tree/main/ext/base/gsort2sh

[@stdlib/blas/ext/base/gsorthp]: https://github.com/stdlib-js/blas/tree/main/ext/base/gsorthp

[@stdlib/blas/ext/base/gsortins]: https://github.com/stdlib-js/blas/tree/main/ext/base/gsortins

[@stdlib/blas/ext/base/gsortsh]: https://github.com/stdlib-js/blas/tree/main/ext/base/gsortsh

[@stdlib/blas/ext/base/gsum]: https://github.com/stdlib-js/blas/tree/main/ext/base/gsum

[@stdlib/blas/ext/base/gsumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/gsumkbn

[@stdlib/blas/ext/base/gsumkbn2]: https://github.com/stdlib-js/blas/tree/main/ext/base/gsumkbn2

[@stdlib/blas/ext/base/gsumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/gsumors

[@stdlib/blas/ext/base/gsumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/gsumpw

[@stdlib/blas/ext/base/gunitspace]: https://github.com/stdlib-js/blas/tree/main/ext/base/gunitspace

[@stdlib/blas/ext/base/gvander]: https://github.com/stdlib-js/blas/tree/main/ext/base/gvander

[@stdlib/blas/ext/base/gwapx]: https://github.com/stdlib-js/blas/tree/main/ext/base/gwapx

[@stdlib/blas/ext/base/gwhere]: https://github.com/stdlib-js/blas/tree/main/ext/base/gwhere

[@stdlib/blas/ext/base/gwxsa]: https://github.com/stdlib-js/blas/tree/main/ext/base/gwxsa

[@stdlib/blas/ext/base/gxpy]: https://github.com/stdlib-js/blas/tree/main/ext/base/gxpy

[@stdlib/blas/ext/base/gxsa]: https://github.com/stdlib-js/blas/tree/main/ext/base/gxsa

[@stdlib/blas/ext/base/gzero-to]: https://github.com/stdlib-js/blas/tree/main/ext/base/gzero-to

[@stdlib/blas/ext/base/ndarray]: https://github.com/stdlib-js/blas/tree/main/ext/base/ndarray

[@stdlib/blas/ext/base/sapx]: https://github.com/stdlib-js/blas/tree/main/ext/base/sapx

[@stdlib/blas/ext/base/sapxsum]: https://github.com/stdlib-js/blas/tree/main/ext/base/sapxsum

[@stdlib/blas/ext/base/sapxsumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/sapxsumkbn

[@stdlib/blas/ext/base/sapxsumkbn2]: https://github.com/stdlib-js/blas/tree/main/ext/base/sapxsumkbn2

[@stdlib/blas/ext/base/sapxsumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/sapxsumors

[@stdlib/blas/ext/base/sapxsumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/sapxsumpw

[@stdlib/blas/ext/base/sasumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/sasumpw

[@stdlib/blas/ext/base/saxpb]: https://github.com/stdlib-js/blas/tree/main/ext/base/saxpb

[@stdlib/blas/ext/base/saxpby]: https://github.com/stdlib-js/blas/tree/main/ext/base/saxpby

[@stdlib/blas/ext/base/scartesian-power]: https://github.com/stdlib-js/blas/tree/main/ext/base/scartesian-power

[@stdlib/blas/ext/base/scartesian-square]: https://github.com/stdlib-js/blas/tree/main/ext/base/scartesian-square

[@stdlib/blas/ext/base/scircshift]: https://github.com/stdlib-js/blas/tree/main/ext/base/scircshift

[@stdlib/blas/ext/base/scusum]: https://github.com/stdlib-js/blas/tree/main/ext/base/scusum

[@stdlib/blas/ext/base/scusumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/scusumkbn

[@stdlib/blas/ext/base/scusumkbn2]: https://github.com/stdlib-js/blas/tree/main/ext/base/scusumkbn2

[@stdlib/blas/ext/base/scusumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/scusumors

[@stdlib/blas/ext/base/scusumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/scusumpw

[@stdlib/blas/ext/base/sdiff]: https://github.com/stdlib-js/blas/tree/main/ext/base/sdiff

[@stdlib/blas/ext/base/sdsapxsum]: https://github.com/stdlib-js/blas/tree/main/ext/base/sdsapxsum

[@stdlib/blas/ext/base/sdsapxsumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/sdsapxsumpw

[@stdlib/blas/ext/base/sdsnansum]: https://github.com/stdlib-js/blas/tree/main/ext/base/sdsnansum

[@stdlib/blas/ext/base/sdsnansumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/sdsnansumpw

[@stdlib/blas/ext/base/sdssum]: https://github.com/stdlib-js/blas/tree/main/ext/base/sdssum

[@stdlib/blas/ext/base/sdssumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/sdssumpw

[@stdlib/blas/ext/base/sediff]: https://github.com/stdlib-js/blas/tree/main/ext/base/sediff

[@stdlib/blas/ext/base/sfill]: https://github.com/stdlib-js/blas/tree/main/ext/base/sfill

[@stdlib/blas/ext/base/sindex-of-column]: https://github.com/stdlib-js/blas/tree/main/ext/base/sindex-of-column

[@stdlib/blas/ext/base/sindex-of-row]: https://github.com/stdlib-js/blas/tree/main/ext/base/sindex-of-row

[@stdlib/blas/ext/base/sindex-of]: https://github.com/stdlib-js/blas/tree/main/ext/base/sindex-of

[@stdlib/blas/ext/base/slast-index-of-row]: https://github.com/stdlib-js/blas/tree/main/ext/base/slast-index-of-row

[@stdlib/blas/ext/base/slast-index-of]: https://github.com/stdlib-js/blas/tree/main/ext/base/slast-index-of

[@stdlib/blas/ext/base/slinspace]: https://github.com/stdlib-js/blas/tree/main/ext/base/slinspace

[@stdlib/blas/ext/base/smskrev]: https://github.com/stdlib-js/blas/tree/main/ext/base/smskrev

[@stdlib/blas/ext/base/snancount]: https://github.com/stdlib-js/blas/tree/main/ext/base/snancount

[@stdlib/blas/ext/base/snansum]: https://github.com/stdlib-js/blas/tree/main/ext/base/snansum

[@stdlib/blas/ext/base/snansumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/snansumkbn

[@stdlib/blas/ext/base/snansumkbn2]: https://github.com/stdlib-js/blas/tree/main/ext/base/snansumkbn2

[@stdlib/blas/ext/base/snansumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/snansumors

[@stdlib/blas/ext/base/snansumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/snansumpw

[@stdlib/blas/ext/base/sone-to]: https://github.com/stdlib-js/blas/tree/main/ext/base/sone-to

[@stdlib/blas/ext/base/sones]: https://github.com/stdlib-js/blas/tree/main/ext/base/sones

[@stdlib/blas/ext/base/srev]: https://github.com/stdlib-js/blas/tree/main/ext/base/srev

[@stdlib/blas/ext/base/ssort]: https://github.com/stdlib-js/blas/tree/main/ext/base/ssort

[@stdlib/blas/ext/base/ssort2hp]: https://github.com/stdlib-js/blas/tree/main/ext/base/ssort2hp

[@stdlib/blas/ext/base/ssort2ins]: https://github.com/stdlib-js/blas/tree/main/ext/base/ssort2ins

[@stdlib/blas/ext/base/ssort2sh]: https://github.com/stdlib-js/blas/tree/main/ext/base/ssort2sh

[@stdlib/blas/ext/base/ssorthp]: https://github.com/stdlib-js/blas/tree/main/ext/base/ssorthp

[@stdlib/blas/ext/base/ssortins]: https://github.com/stdlib-js/blas/tree/main/ext/base/ssortins

[@stdlib/blas/ext/base/ssortsh]: https://github.com/stdlib-js/blas/tree/main/ext/base/ssortsh

[@stdlib/blas/ext/base/ssum]: https://github.com/stdlib-js/blas/tree/main/ext/base/ssum

[@stdlib/blas/ext/base/ssumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/ssumkbn

[@stdlib/blas/ext/base/ssumkbn2]: https://github.com/stdlib-js/blas/tree/main/ext/base/ssumkbn2

[@stdlib/blas/ext/base/ssumors]: https://github.com/stdlib-js/blas/tree/main/ext/base/ssumors

[@stdlib/blas/ext/base/ssumpw]: https://github.com/stdlib-js/blas/tree/main/ext/base/ssumpw

[@stdlib/blas/ext/base/sunitspace]: https://github.com/stdlib-js/blas/tree/main/ext/base/sunitspace

[@stdlib/blas/ext/base/svander]: https://github.com/stdlib-js/blas/tree/main/ext/base/svander

[@stdlib/blas/ext/base/swhere]: https://github.com/stdlib-js/blas/tree/main/ext/base/swhere

[@stdlib/blas/ext/base/sxsa]: https://github.com/stdlib-js/blas/tree/main/ext/base/sxsa

[@stdlib/blas/ext/base/szero-to]: https://github.com/stdlib-js/blas/tree/main/ext/base/szero-to

[@stdlib/blas/ext/base/szeros]: https://github.com/stdlib-js/blas/tree/main/ext/base/szeros

[@stdlib/blas/ext/base/wasm]: https://github.com/stdlib-js/blas/tree/main/ext/base/wasm

[@stdlib/blas/ext/base/zapx]: https://github.com/stdlib-js/blas/tree/main/ext/base/zapx

[@stdlib/blas/ext/base/zaxpb]: https://github.com/stdlib-js/blas/tree/main/ext/base/zaxpb

[@stdlib/blas/ext/base/zdiff]: https://github.com/stdlib-js/blas/tree/main/ext/base/zdiff

[@stdlib/blas/ext/base/zfill]: https://github.com/stdlib-js/blas/tree/main/ext/base/zfill

[@stdlib/blas/ext/base/zindex-of-column]: https://github.com/stdlib-js/blas/tree/main/ext/base/zindex-of-column

[@stdlib/blas/ext/base/zindex-of-row]: https://github.com/stdlib-js/blas/tree/main/ext/base/zindex-of-row

[@stdlib/blas/ext/base/zindex-of]: https://github.com/stdlib-js/blas/tree/main/ext/base/zindex-of

[@stdlib/blas/ext/base/zlast-index-of-row]: https://github.com/stdlib-js/blas/tree/main/ext/base/zlast-index-of-row

[@stdlib/blas/ext/base/znancount]: https://github.com/stdlib-js/blas/tree/main/ext/base/znancount

[@stdlib/blas/ext/base/zone-to]: https://github.com/stdlib-js/blas/tree/main/ext/base/zone-to

[@stdlib/blas/ext/base/zsum]: https://github.com/stdlib-js/blas/tree/main/ext/base/zsum

[@stdlib/blas/ext/base/zsumkbn]: https://github.com/stdlib-js/blas/tree/main/ext/base/zsumkbn

[@stdlib/blas/ext/base/zunitspace]: https://github.com/stdlib-js/blas/tree/main/ext/base/zunitspace

[@stdlib/blas/ext/base/zwhere]: https://github.com/stdlib-js/blas/tree/main/ext/base/zwhere

[@stdlib/blas/ext/base/zxsa]: https://github.com/stdlib-js/blas/tree/main/ext/base/zxsa

[@stdlib/blas/ext/base/zzero-to]: https://github.com/stdlib-js/blas/tree/main/ext/base/zzero-to

<!-- </toc-links> -->

</section>

<!-- /.links -->
