Search Results for "decomposition"

* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:...

AlphaTensor, developed by Google DeepMind, is the research codebase accompanying the 2022 Nature publication “Discovering faster matrix multiplication algorithms with reinforcement learning.” The project demonstrates how reinforcement learning can be used to automatically discover efficient algorithms for matrix multiplication — a fundamental operation in computer science and numerical computation. The repository is organized into four main components: algorithms, benchmarking,...

This is a framework used to decompose hierarchical graphs, i.e.,graphs which were created from or contain a hierarchy of modules. Each module is reused several times in the hierarchy. This may be useful to reverse-engineer human constructs like electronic equipment, manufactured machines, or bureaucratic hierarchies; but also to decompose natural constructs like gene-relation or protein-relation nets.

This is a collection of some matrix algorithms like matrix inverse, LU decomposition, Gauss elimination, matrix multiplication, matrix pow, matrix add, matrix subtract etc. This package also contains debugging information for the above algorithms

An implementation of Dantzig-Wolfe decomposition built upon the GNU Linear Programming Kit. This is a command line tool for solving properly decomposed linear programs. There are several examples and some documentation to guide the use of this solver. Forked over to GitHub (see link).

The NUMIPAD library implements several methods/algorithms to solve inverse problems and adaptive decomposition (i.e. Tikhonov regularization, Total Variation, Basis Pursuit, etc.)