6 projects tagged "Linear Algebra"
Updated 17 Apr 2013
Eigen
| Pop | 355.60 |
|---|---|
| Vit | 37.23 |
Eigen is a C++ template library for linear algebra: vectors, matrices, and related algorithms. It is versatile, fast, elegant and works on many platforms.
Updated 05 Jan 2011
Elemental
| Pop | 22.80 |
|---|---|
| Vit | 29.45 |
Elemental is a C++ framework for distributed-memory dense linear algebra that strives to be fast, portable, and programmable. It can be thought of as a generalization of PLAPACK to element-by-element distributions that also makes use of recent algorithmic advances from the FLAME project. Elemental usually outperforms both PLAPACK and ScaLAPACK, however, it heavily relies on MPI collectives so a good MPI implementation is crucial. Both pure MPI and hybrid OpenMP-MPI configurations are supported.
Updated 08 Oct 2011
NLinear
| Pop | 29.26 |
|---|---|
| Vit | 1.00 |
NLinear is a generic linear algebra toolkit for the .NET platform. It is designed to work with any numeric type, including float and double.
Updated 08 Oct 2012
Topologic
| Pop | 36.85 |
|---|---|
| Vit | 1.94 |
Topologic is a simple renderer for certain higher-dimensional geometric primitives and some regular 3D shapes. The idea is to make it easy for students of certain higher-dimensional maths and physics topics to visualize the typical primitives in those fields and get a grasp for the topic. Note: the program as such is freeware, while the part of it that deals with the Mathematics to project the geometric shapes to 3-space and 2-space has been released separately under an MIT/X style license.
Updated 22 Oct 2012
jMathLab
| Pop | 50.44 |
|---|---|
| Vit | 1.06 |
jMathLab is a platform for mathematical and numerical computations. It uses the Matlab/Octave programming language. It runs on any platform where Java is installed, and can also run on the Web browser. The following packages are included: symbolic calculations (simplification, differentials, integration), numeric calculations, evaluations of mathematical functions, special functions, linear algebra with vectors and matrices, plotting data and functions, saving data (vectors and matrices) in files, random numbers, statistics, and solving linear and non-linear equations
Updated 07 Apr 2013
librsb
| Pop | 116.54 |
|---|---|
| Vit | 2.23 |
librsb is a library for sparse matrix computations featuring the Recursive Sparse Blocks (RSB) matrix format. This format allows cache-efficient and multithreaded (that is, shared memory parallel) operations on large sparse matrices. The most common operations necessary to iterative solvers are available (matrix-vector multiplication, triangular solution, rows/columns scaling, diagonal extraction/setting, blocks extraction, norm computation, formats conversion). The RSB format is especially well-suited for symmetric and transposed multiplication variants. On these variants, librsb has been found to be faster than Intel MKL's implementation for CSR. Most numerical kernels code is auto-generated, and the supported numerical types can be chosen by the user at buildtime. librsb implements the Sparse BLAS standard, as specified in the BLAS Forum documents.
