JMathArray is a lightweight, open-source Java library designed to simplify mathematical, linear algebra, and statistical operations on standard Java primitive arrays. Developed to make mathematical programming in Java look and feel more like high-level languages such as MATLAB, it eliminates the complex boilerplate code usually required to manipulate multi-dimensional arrays.
The project is actively maintained on the Yann Richet JMathArray GitHub Repository. Core Features
JMathArray wraps and extends two well-established numeric engines—JAMA (for linear algebra) and RngPack (for random number generation)—into a suite of clean, static methods. Its capabilities are divided into four core areas:
Array Manipulation: Methods to dynamically merge, insert, or delete rows and columns directly on double[][] or int[][] arrays without building manual loops.
Linear Algebra: Quick calculations for LU, QR, Cholesky, Singular Value (SVD), and Eigenvalues decompositions.
Statistical Sampling: Instant functions for finding the mean, variance, covariance, and generating histograms from native array data.
Random Generators: Built-in distribution samplers including Normal, Lognormal, Triangular, Chi-Square, and Weibull distributions. Why Use It? (The “Made Easy” Philosophy) YouTube·Math Class with Terry V
How to Understand Matrix Operations: Matrix Multiplication 1
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