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ml-matrix

Matrix manipulation and computation library


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What is ml-matrix?

The ml-matrix npm package provides a comprehensive set of tools for matrix operations and linear algebra. It is designed to be used in machine learning and data science applications, offering a variety of functionalities such as matrix creation, manipulation, decomposition, and solving linear systems.

What are ml-matrix's main functionalities?

Matrix Creation

This feature allows you to create matrices from arrays. The code sample demonstrates how to create a 2x2 matrix and print it.

const { Matrix } = require('ml-matrix');
const A = new Matrix([[1, 2], [3, 4]]);
console.log(A.toString());

Matrix Operations

This feature supports various matrix operations such as addition, subtraction, multiplication, etc. The code sample shows how to add two matrices.

const { Matrix } = require('ml-matrix');
const A = new Matrix([[1, 2], [3, 4]]);
const B = new Matrix([[5, 6], [7, 8]]);
const C = A.add(B);
console.log(C.toString());

Matrix Decomposition

This feature provides methods for matrix decomposition like Singular Value Decomposition (SVD), LU decomposition, etc. The code sample demonstrates how to perform SVD on a matrix.

const { Matrix, SingularValueDecomposition } = require('ml-matrix');
const A = new Matrix([[1, 2], [3, 4]]);
const svd = new SingularValueDecomposition(A);
console.log(svd.diagonalMatrix.toString());

Solving Linear Systems

This feature allows solving linear systems of equations. The code sample shows how to solve the system Ax = b.

const { Matrix } = require('ml-matrix');
const A = new Matrix([[1, 2], [3, 4]]);
const b = [5, 6];
const x = A.solve(b);
console.log(x.toString());

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Package last updated on 21 Nov 2015

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