Search Results for "sparse"
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Showing 12 open source projects for "sparse"
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librsb
A shared memory parallel sparse matrix library including Sparse BLAS.
librsb is a library for sparse matrix computations featuring the Recursive Sparse Blocks (RSB) matrix format. This format allows cache efficient and multi-threaded (that is, shared memory parallel) operations on large sparse matrices. The most common operations necessary to iterative solvers are available, e.g.: matrix-vector multiplication, triangular solution, rows/columns scaling, diagonal extraction / setting, blocks extraction, norm computation, formats conversion. ... -
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Mumps Solver for Visual Studio
Visual studio C and C++ projects to build and use mumps sparse solver
Project consist of a WinForm to modify Mumps source files in order to compile and use them under the 64-bit or 32-bit windows environment and to create necessary VS 2010 projects/solution to compile the source code. On the code tab you can find the sample Mumps solver solution with 6 projects. Two projects are a mumps wrapper library - dynamic and static. And other four projects are testing projects - two are C++ (linking static or dynamic wrapper library) and two are C (again linking... -
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The Meta Matrix Library is a modular designed collection of C libraries. It was developed to provide easy and consistent access to numerical linear algebra software for sparse and dense matrices.
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The igraph library
Library for creating and manipulating graphs
This is a library for creating and manipulating graphs with focus on speedy operations for large, sparse graphs. -
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The Lidy project is a small cross-platform library under LPGL licence, written in C language. It has been designed in order to facilitate the sparse matrices handling.
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PySparse - A Sparse Matrix Library for Python
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A simple CUDA accelerated solver for general dimensional n-body problems. Currently only the conjugate gradient method has been implemented, but more will soon follow.
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A Python environment for large and sparse linear and nonlinear optimization using intuitive interfaces to linear algebra tools and subproblem solvers written in low-level languages. It provides building blocks to experiment with new ideas and algorithms.
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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!)
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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
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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.
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