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@danielsimonjr/mathts-linalg

v0.1.20

Published

9 days ago

Standalone linear-algebra decompositions for MathTS (eigen, SVD, QR, LU, Cholesky, Schur, matrix functions), re-exported as a focused package

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math typescript linear-algebra linalg svd eigenvalue qr lu cholesky matrix

@danielsimonjr/mathts-linalg

Standalone linear-algebra decompositions for MathTS.

A focused entry point over the decomposition operations in @danielsimonjr/mathts-matrix. The implementation is re-exported, not duplicated.

Install

npm install @danielsimonjr/mathts-linalg

What it exports

Eigen: eig, eigvals, powerIteration (+ async eigWasm, eigvalsWasm, spectralRadiusWasm, which now delegate to JS — the WASM eig kernels were retired 2026-07 as a scalar pessimization).
SVD: svd, singularValues, pinv, lowRankApprox, cond, norm2, normFro (+ svdWasm).
Factorizations: qr, lu, cholesky, matrixSchur, matrixPinv.
Matrix functions: matrixExpm, matrixLogm, matrixSqrtm.
Result/option types: EigResult, SVDResult, QRResult, LUResult, CholeskyResult, SchurResult, etc.

License

MIT (c) Daniel Simon Jr.