The JSparse Matrix Package, developed by Philipp Geigenmüller during an internship at the prudsys AG in Chemnitz, Germany, is an extension of the well-known Java Matrix Package (JAMA) and allows the use of sparse matrices and related algorithms.

Features

  • provides two storing techniques for sparse matrices
  • several algorithms to solve sparse systems of linear equations
  • fast and accurate
  • includes an extensive javadoc
  • well-documented
  • supports a whole bunch of setter and getter methods for the matrices
  • easy to expand
  • platform independent
  • supports standard matrix operations
  • object-oriented
  • works together with the jama library

Project Activity

See All Activity >

License

BSD License

Follow JSparse Matrix Package

JSparse Matrix Package Web Site

You Might Also Like
Start building the next generation of GenAI apps today Icon
Start building the next generation of GenAI apps today

MongoDB and Google Cloud bring together powerful technologies that enable you to confidently build GenAI experiences.

MongoDB Atlas is a fully-managed developer data platform built by developers, for developers. With tight integration to Google Cloud services such as Vertex AI and BigQuery, you can accelerate application deployment to stay at the forefront of AI innovation.
Learn More
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
1
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

  • A really helpful extension to the Jama package.
Read more reviews >

Additional Project Details

Operating Systems

Linux, Mac, Windows

Intended Audience

Advanced End Users, Developers

Programming Language

Java

Related Categories

Java Algorithms, Java Intelligent Agents, Java Libraries

Registered

2010-09-14