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@danielsimonjr/mathts-linalg

v0.1.2

Published

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

Downloads

350

Vulnerabilities

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Links

Git

Maintainers

danielsimonjrdanielsimonjr

Keywords

mathtypescriptlinear-algebralinalgsvdeigenvalueqrlucholeskymatrix

Readme

@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 (+ WASM eigWasm, eigvalsWasm, spectralRadiusWasm).
  • 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.