Freeware Listing: Sparse

Non Convex Optimization Algorithms for Group Sparsity Solves a dummy OFDM sparse channel estimation problem Reweighted Lm,p algorithm for noiseless case min||x||_m,p s.t. y = Ax Reweighted Lm,p algorithm for noisy case min||x||_2,p s.t. ||y - Ax||_q Smoothed L2,0 algorithm solves a smooth version of min||x||_2,0 s.t. y = Ax Reweigted Lm,p is an extension of the Lp algorithm proposed in: Rick Chartrand and Wotao Yin, "Iteratively reweighted algorithms for compressive sensing", in 33rd International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008 Smoothed L2,0 is the group version of the SL0 algorithm: Hossein Mohimani, Massoud Babaie-Zadeh, Christian Jutten, "A fast approach for overcomplete sparse decomposition based on smoothed L0 norm", IEEE Transactions on Signal Processing, Vol.

  • Platform: Matlab, Scripts

Sparse is an open source, usable, flexible, powerful framework which allows web developers to make entire CGI applications without ever programming anything. All that's required is knowing how to use a few extra HTML tags and sticking a single PHP tag at the top.Sparse can deal completely with adding, editing, and displaying data; navigating amongst data; checking and displaying errors. Sparse will also cache itself so that it only has to get information about the tables and template once.Sparse allows developers to simply write plain HTML pages with tags representing widgets and buttons for displaying or entering data.

  • Platform: PHP, Scripts

SC - Sparse Classifier FSC - Fast Sparse Classifier GSC - Group Sparse Classifier FGSC - Fast Group Sparse Classifier NSC - Nearest Subspace Classifier Requires SPGL1 - http://www.cs.ubc.ca/labs/scl/spgl1/ Requires Sparsify - http://www.see.ed.ac.uk/~tblumens/sparsify/sparsify.html Requires GroupSparseBox - http://www.mathworks.com/matlabcentral/fileexchange/22771.

  • Platform: Matlab, Scripts

Group and Block Sparse Signal reconstruction via Matching Pursuit - BMP, GMP Gradient Pursuit - block_gp, group_gp Nearly Orthogonal Matching Pursuit - block_nomp, group_nomp Partial Conjugate Gradient Pursuit - block_pcgp, group_pcgp Orthogonal Least Squares - BOLS, GOLS.

  • Platform: Matlab, Scripts

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 visit http://www.mathworks.com/support/books/boo...=-1&language=-1.

  • Platform: Matlab, Scripts

Group and Block Sparse Signal reconstruction via Matching Pursuit - BMP, GMP Gradient Pursuit - block_gp, group_gp Nearly Orthogonal Matching Pursuit - block_nomp, group_nomp Partial Conjugate Gradient Pursuit - block_pcgp, group_pcgp Orthogonal Least Squares - BOLS, GOLS.

  • Platform: Matlab, Scripts

Group and Block Sparse Signal reconstruction via Matching Pursuit - BMP, GMP Gradient Pursuit - block_gp, group_gp Nearly Orthogonal Matching Pursuit - block_nomp, group_nomp Partial Conjugate Gradient Pursuit - block_pcgp, group_pcgp.

  • Platform: Matlab, Scripts

This is a program that generates a test problem for linear optimization with a sparse matrix. The test problem is of the kind min c'*x s.t. Aeq*x=beq lb<=x<=ub where lb is a zero vector and ub is greater then a zero vector so that the problem has a solution. The problem that generates is a minimum cost flow network problem. When the problem is generated the program will (if you want) show the graph of the problem. You call the program with the command [Aeq,beq,lb,ub,c]=simsys_sparse(m) where m is the number of rows you want Aeq to have. Before you change some variable in the program you have to choose m>=11.

  • Platform: Matlab, Scripts

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-plateform Run test_dijkstra.m for the demo.

  • Platform: Matlab, Scripts

Ruby interface to the CRM114 Controllable Regex Mutilator, an advanced and fast text classifier that uses sparse binary polynomial matching with a Bayesian Chain Rule evaluator and a hidden Markov model to categorize data with up to a 99.87% accuracy..

  • Platform: Ruby, Scripts

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.
Blit - Block Iterative Sparse Solvers License - BSD License; GNU General Public License (GPL); GNU Library or Lesser General Public License (LGPL).

  • Publisher: Blit
  • Date:
  • Platform: WinOther

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.
Sparse-PHP License - GNU General Public License (GPL).

  • Platform: Linux, Mac OS X, WinOther

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 produced by visualization software, download managers which preallocate the disk space for download tasks that are in progress. From the perspective of other applications the file is unchanged after marked as a sparse file.


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  • Platform: Win2000, Win7 x32, Win7 x64, Windows Server, WinOther, WinVista, WinVista x64

A Fast Fourier Transform (FFT) method for frequency sparse functions. Recovers the k most energetic frequencies hidden in a bandwidth-N function in k*polylog(N) time..

  • Platform: WinOther

Alt-IDE is a Lua powered scriptable IDE. It provides the possibility to add support for any compiler! For the latest news and versions please visit the alt-ide website at www.alt-ide.net as updates on SF.net are sparse!.

  • Platform: WinOther
  • ANGEL
  • License: Freeware
  • Rating

ANGEL-Automatic differentiation Nested Graph Elimination Library is a template library using the Boost Graph Library and the Standard C++ Library; it provides sparse representations of c-graphs their dual line graphs and vertex, edge and face elimina.

  • Platform: Linux, Mac OS X, WinOther

AML++ is a matrix library which mimics most Matlab/Octave features and functions. It offers many different matrix classes (both real and complex including generic dense and sparse matrices, upper/lower triangular, symmetric, Hermitian and band)..

  • Platform: WinOther

C++, Matlab and Python library for Hidden-state Conditional Random Fields. Implements 3 algorithms: LDCRF, HCRF and CRF. For Windows and Linux, 32- and 64-bits. Optimized for multi-threading. Works with sparse or dense input features..

  • Platform: Linux, WinOther

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..

  • Platform: Linux, Mac OS X, WinOther

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..

  • Platform: Linux, Mac OS X, WinOther

Sparse: Freeware | All

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