Sparse

Non Convex Optimization Algorithms for Group SparsitySolves a dummy OFDM sparse channel estimation problemReweighted Lm,p algorithm for noiseless case min||x||_m,p s.t. y = AxReweighted Lm,p algorithm for noisy case min||x||_2,p s.t. ||y - Ax||_qSmoothed L2,0 algorithm solves a smooth version...

Judy is a C library that provides a state-of-the-art core technology that implements a sparse dynamic array. Judy arrays are declared simply with a null pointer. A Judy array consumes memory only when it is populated, yet can grow to take advantage of all available memory if desired. Judys...

Analyzes files and estimates the possible free space after making file sparse. Frees the disk space potentially occupied by the continuous ranges of zero bytes in the file. Is especially efficient while processing virtual disk image files, preallocated database files, memory and other file...


Platforms: Windows

SC - Sparse ClassifierFSC - Fast Sparse ClassifierGSC - Group Sparse ClassifierFGSC - Fast Group Sparse ClassifierNSC - Nearest Subspace ClassifierRequires SPGL1 - http://www.cs.ubc.ca/labs/scl/spgl1/Requires Sparsify - http://www.see.ed.ac.uk/~tblumens/sparsify/sparsify.htmlRequires...


Platforms: Matlab

Group and Block Sparse Signal reconstruction viaMatching Pursuit - BMP, GMPGradient Pursuit - block_gp, group_gpNearly Orthogonal Matching Pursuit - block_nomp, group_nompPartial Conjugate Gradient Pursuit - block_pcgp, group_pcgpOrthogonal Least Squares - BOLS, GOLS


Platforms: Matlab

This book is written for computational scientists who would like to incorporate state-of-the-art computational methods for solving large sparse systems of linear equations.For a full book description and ordering information, please visithttp://www.mathworks.com/support/books/boo...=-1&language=-1


Platforms: Matlab

Group and Block Sparse Signal reconstruction viaMatching Pursuit - BMP, GMPGradient Pursuit - block_gp, group_gpNearly Orthogonal Matching Pursuit - block_nomp, group_nompPartial Conjugate Gradient Pursuit - block_pcgp, group_pcgpOrthogonal Least Squares - BOLS, GOLS


Platforms: Matlab

Group and Block Sparse Signal reconstruction viaMatching Pursuit - BMP, GMPGradient Pursuit - block_gp, group_gpNearly Orthogonal Matching Pursuit - block_nomp, group_nompPartial Conjugate Gradient Pursuit - block_pcgp, group_pcgp


Platforms: Matlab

This is a program that generates a test problem for linear optimization with a sparse matrix. The test problem is of the kindmin c'*xs.t. Aeq*x=beq lb


Platforms: Matlab

Return the optimal path given the adjacency/cost sparse matrix and source/destination nodes.Run mexme_dijkstra.m to compile mex-files on your own-plateformRun test_dijkstra.m for the demo


Platforms: Matlab

Pysparse is a fast sparse matrix library for Python. It provides several sparse matrix storage formats and conversion methods. It also implements a number of iterative solvers, preconditioners, and interfaces to efficient factorization packages. Both low-level and high-level interfaces are...


Platforms: Mac

Statistics::Descriptive is a Perl module of basic descriptive statistical functions. SYNOPSIS use Statistics::Descriptive; $stat = Statistics::Descriptive::Full->new(); $stat->add_data(1,2,3,4); $mean = $stat->mean(); $var = $stat->variance(); $tm = $stat->trimmed_mean(.25);...


Platforms: *nix

Sparseimage Compactor is an AppleScript application (applet/droplet) to run the UNIX shell script 'hdiutil compact' to compress sparse disk images. If you don't know what a sparse disk image is, then you likely don't need this application yet. If you want to learn more, please launch the Disk...


Platforms: Mac

dar is a shell command that backs up directory trees and files, taking care of hard links, Extended Attributes, sparse files, MacOS's file forks, any inode type (including Solaris Door inodes), etc. It has been tested under Linux, Windows, Solaris, FreeBSD, NetBSD, MacOS X and several other...


Platforms: Windows

A clean white 2 column Wordpress theme with a nice sparse layout and a completely widget ready sidebar. The package also includes a Windows installer to install and activate the theme on your blog to make things even easier for you. The theme will work with all standard browsers and is completely...


Platforms: Windows, Mac, Other, Pocket PC, Android, BlackBerry, iPhone, iPod, iTouch, Palm

The JSparse Matrix Package, developed by Philipp GeigenmALller during an internship at the prudsys AG in Chemnitz, Germany, is an extension of the well-known Java Matrix Package (JAMA) and allows the use of sparse matrices and related algorithms.


Platforms: Windows, Mac, Linux

This software computes synthesis of spherical harmonics models on sparse coordinates or grids (provided in a geodetic or geocentric reference system). It exploits basic parallelism using openmp directives. A solution with MPI has not be taken into account since it cannot be so easily manageble...


Platforms: Windows, Mac, Linux

This is a templated library of numerical base classes which implement basic data structures like complex numbers, dynamic vectors, static vectors, different types of matrices like full matrices, band matrices, sparse matrices, etc. and also included a representation for Tensors and its typical...


Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

OOFEM is free finite element code with object oriented architecture for solving mechanical, transport and fluid mechanics problems that operates on various platforms.The aim of this project is to develop efficient and robust tool for FEM computations as well as to provide modular and extensible...


Platforms: C and C plus plus

LDPC codes BER simulation under AWGN channel. MacKay-Neal based LDPC matrix. Message encoding uses sparse LU decomposition. There are 4 choices of decoder: hard-decision/bit-flip decoder, probability-domain SPA decoder, log-domain SPA decoder, and simplified log-domain SPA decoder.


Platforms: Matlab