A fast and easy to use linear algebra library written in Java for dense, sparse, real, and complex matrices.

Fast linear algebra for Java

Sparse Matrix - Matrix Multiplication for GPU, Java8 Streams, Multicore CPU and GridGain.

A new set of lossy and lossless graph compression techniques for external memory representation.

The matrix and vector library for Java

Sparse Matrix Compression efficiently stores and manages sparse matrices using linked lists and arrays. It supports insertion, deletion, search, updates, and CSV-based storage while optimizing memory usage.

An implementation of the sparse array data structure.

A sparseMatrix implementation with doubly linked list in Java

Create a graphical representation of a Sparse Matrix. Cria uma representação gráfica de uma Matriz Esparsa.

This Project does graph analysis using Hadoop MapReduce

Sparse matrix multiplication Java implementation for multiplying high order matrices on brief periods of time

This program represents the form of sparse matrices in triplets, in linked lists form 1 and form 2, it allows performing operations between matrices for each of the representations such as: add, multiply, transpose.