@danielsimonjr/mathts-matrix

High-performance matrix operations with multi-backend support (JS/WASM/GPU).

Installation

npm install @danielsimonjr/mathts-matrix

Usage

import { DenseMatrix } from '@danielsimonjr/mathts-matrix';

// Create a matrix from a 2D array
const A = DenseMatrix.fromArray([
  [1, 2, 3],
  [4, 5, 6],
  [7, 8, 9],
]);

// Basic operations
const sum = A.add(A);
const product = A.multiply(A);
const transposed = A.transpose();

// Decompositions (operate on number[][])
import { svd, eig } from '@danielsimonjr/mathts-matrix';
const { U, S, V } = svd(A.toArray());

Backends

| Backend | Trigger | Performance | | -------- | -------------- | ------------ | | JS | Default | 1x baseline | | WASM | >1K elements | ~10x faster | | GPU | >100K elements | ~100x faster |

Matrix Types

• DenseMatrix - Standard dense storage (row-major)
• SparseMatrix - CSR format for sparse data

Status

This package is under active development. Currently implemented:

• [x] Type definitions
• [x] Backend infrastructure
• [x] Dense matrix structure
• [x] Sparse matrix (CSR) structure
• [x] Matrix operations (add, multiply, transpose, etc.)
• [x] WASM backend (Rust primary, AssemblyScript legacy)
• [x] GPU backend (WebGPU)
• [x] SVD decomposition
• [x] Eigenvalue solvers

License

MIT