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svd, eig } from '@danielsimonjr/mathts-matrix';\nconst { U, S, V } = svd(A.toArray());\n```\n\n## Backends\n\n| Backend  | Trigger        | Performance  |\n| -------- | -------------- | ------------ |\n| **JS**   | Default        | 1x baseline  |\n| **WASM** | >1K elements   | ~10x faster  |\n| **GPU**  | >100K elements | ~100x faster |\n\n## Matrix Types\n\n- `DenseMatrix` - Standard dense storage (row-major)\n- `SparseMatrix` - CSR format for sparse data\n\n## Status\n\nThis package is under active development. Currently implemented:\n\n- [x] Type definitions\n- [x] Backend infrastructure\n- [x] Dense matrix structure\n- [x] Sparse matrix (CSR) structure\n- [x] Matrix operations (add, multiply, transpose, etc.)\n- [x] WASM backend (AssemblyScript)\n- [x] GPU backend (WebGPU)\n- [x] SVD decomposition\n- [x] Eigenvalue solvers\n\n## License\n\nMIT\n","readmeFilename":"README.md"}