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This is an Open Sourced BASIC interpreter environment using PostgreSQL. It is focused on (1) Simple to program, (2) Powerful database statements, (3) UNIX shell friendly, (4) Business focused, (5) "Function" over "speed". This is *not* another VB implementation. Extensive language documentation is available.
A library with a large (sparse) array mapping each unicode code point to the annotation data for it provided in
http://www.unicode.org/Public/UNIDATA/NamesList.txt
Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.
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The Optimized Sparse Kernel Interface (OSKI) Library provides automatically tuned sparse matrix kernels, for use by solver libraries and applications. OSKI is part of the BeBOP project on performance tuning and analysis at U.C. Berkeley. (Go Bears!)
Sparse lets you write simple HTML templates which are turned into fully-fledged MySQL-based applications with degradable Ajax. Easily integrated with PHP code. Does automated data and error handling, input validation, searching, sorting, and navigation.
sparsedd (sdd) is a substitute for the unix dd command which uses lseek(2) where possible when copying blocks of null bytes, in order to take advantage of the sparse storage implementation of the underlying filesystem.
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JMatrixView is aJava/Swing matrix viewer. It works with Colt matrix implementation. It features dynamically tunable row/column resolution and has been designed for sparse matrix.
An ANN design/implementation focused to work with optimally with NEAT (http://www.cs.utexas.edu/users/kstanley/neat.html). Semiann uses a sparse matrix to fill out the nodes, connections, weights, biases and activation functions for an ANN.
Sparse is a direct method solver for the large sparse matrices that are associated with electrical circuit simulation. It uses LU factorization and handles both real and complex square matrices.It is intended to solve many matrices with the same structure
uBLAS is a C++ template class library that provides BLAS level 1, 2, 3 functionality for dense, packed and sparse matrices and many numerical algorithms for linear algebra.
A library providing basic building blocks for creating in-memory databases of important data. Existing components are: Linked lists; Hash tables with optional auto-resize; Memory-efficient sparse matrices built on hash tables; Red-black trees.
NOTE: This project is moving to Github; https://github.com/klmitch/dbprim
The goal of this project is to produce a genuinely Open Source multicast router that supports all existing multicast routing protocols. This will include DVMRP, PIM-2 (sparse and dense modes), MOSPF and BGMP.
MatGen is a matrix generator. It outputs matrices in MatrixMarket file format, taking as input a file describing the matrices´ properties. Currently it supports only random sparse matrices.
Blit contains a group of highly efficient iterative sparse solvers that can handle multiple right-hand-sides (i.e. block solvers). We will implement BLQMR, BLGMRES and other block algorithms in MATLAB, FORTRAN 90, C/C++, CUDA and OpenCL.
Implementation of the finite element method for linear elasticity
Code for solving linear elasticity problems using the finite element method. Current features
-Handles complex geometry and boundary conditions
-Linear triangle and quadratic quad elements
-Sparse matrix CG solver
-MPI Parallelism
-GMSH Input
-VTK Output