Java Linear Algebra Library Files

Status: Alpha

Brought to you by: dan_gafencu

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
jlal	2005-03-31		0
Totals: 1 Item			0

Other Useful Business Software

Level Up Your Cyber Defense with External Threat Management

See every risk before it hits. From exposed data to dark web chatter. All in one unified view.

Move beyond alerts. Gain full visibility, context, and control over your external attack surface to stay ahead of every threat.

Try for Free

Keep company data safe with Chrome Enterprise

Protect your business with AI policies and data loss prevention in the browser

Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.

Download Chrome

Recommended Projects

Automatically Tuned Linear Algebra Soft.
ATLAS (Automatically Tuned Linear Algebra Software) provides highly optimized Linear Algebra kernels for arbitrary cache-based architectures. ATLAS provides ANSI C and Fortran77 interfaces for the entire BLAS API, and a small portion of the LAPACK AP
matlisp
MatLisp is a package for Common Lisp for handling matrices with real-valued or complex-valued elements. BLAS is used for elementary matrix operations and LAPACK is used for linear algebra routines.
JLinAlg
JLinAlg is an open source and easy to use Java library for linear algebra. It can do calculations without rounding errors. Features include: basic matrix operations, algorithms for solving Linear Equation Systems, inverting matrices, computing the determinant and the eigenvalues of a matrix. We have moved to Github: https://github.com/JLinAlg/JLinAlg
SimpleNumericalLibrary
A simple matrix and vector library. It contain basic matrix and vector operations, linear and non-linear system solvers, gauss integrator, and others.
Lapack++
LAPACK++ is a library for high performance linear algebra computations. This version includes support for solving linear systems using LU, Cholesky, QR matrix factorizations, for real and complex matrices.