Artifacts using CSparseJ (8)

Parallel Colt is a multithreaded version of Colt - a library for high performance scientific computing in Java. It contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming.

JOptimizer is a java library for solving general convex optimization problems, like for example LP, QP, QCQP, SOCP, SDP, GP and many more.

A sparse LU factorization algorithm suited to circuit simulation.

JOptimizer is a java library for solving general convex optimization problems, like for example LP, QP, QCQP, SOCP, SDP, GP and many more.

The Brown-UMBC Reinforcement Learning and Planning (BURLAP) Java code library is for the use and development of single or multi-agent planning and learning algorithms and domains to accompany them. The library uses a highly flexible state/observation representation where you define states with your own Java classes, enabling support for domains that discrete, continuous, relational, or anything else. Planning and learning algorithms range from classic forward search planning to ...

JOptimizer is a java library for solving general convex optimization problems, like for example LP, QP, QCQP, SOCP, SDP, GP and many more.

Parallel Colt is a multithreaded version of Colt - a library for high performance scientific computing in Java. It contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming.

Transform tables of observations and reference data into RDF data cube resources specified as csvw