Sparse

This file serves as a replacement for Matlab's kron.m. It contains a more efficient implementation of the Kronecker product for dense, sparse and logical matrices.

Utility function operates with no loops, so is of comparable speed to LINSPACE.Using the same syntax as LINSPACE, COSSPACE makes a cosine spaced vector, clustering the elements toward the endpoints with greater spacing in the middle:||_|__|___|____|_____|_____|____|___|__|_||Given negative vector...

To compute the LU factorization under default settings: [L U p q] = lucp(A)This produces a factorization such that L*U = A(p,q). Vectors p and q permute the rows and columns, respectively.The pivot tolerance can be controlled: [L U p q] = lucp(A,tol)The algorithm will terminate if the absolute...


Platforms: Matlab

The package contains a set of C functions and preprocessor macros to simplify writing MEX source files. The routines help check input and output argument count, argument type, dimension and structure in a MEX file. See "common.c" in the subfolder "include" for details.Sample code is included in...


Platforms: Matlab

Take categorical data matrix and transform whole matrix to binary sparse 1ofM matrix, keeping track of what came from where. Ideal for any form of count-based probabilistic analysis.Typically used in a chain following loadcell.m and celltonumeric.mdatato1ofm - recast data in 1 of M format,...


Platforms: Matlab

A Fixed-Point Iterative Schema for Error Minimization in k-Sparse DecompositionA a new algorithm to solve the sparse approximation problem over redundant dictionaries based on LiMapS, where the input signal is restricted to be a linear combination of k atoms from a fixed dictionary.


Platforms: Matlab

LINES2IM generates an image with painted lines. The line-hues are the angles of the slopes.Given a set of line coordinates:X = [startx1 endx1; startx2 endx2;...]Y = [starty1 endy1; starty2 endy2;...]and a wanted image resolution, this code will generate the sparse matrix HUE, and the images BW,...


Platforms: Matlab

3-Dimensional version of Conway's Game of Life. "Life" is a cellular automaton invented by John Conway that involves live and dead cells in a rectangular, two-dimensional universe. This implementation uses a M x M x M grid; the number initial ramdomly generated cells can be changed using the...


Platforms: Matlab

EMF Interspire extends the E-mail Marketing Framework module to support the Interspire Email Marketer mass mailing platform.This module requires the E-mail Marketing Framework and a working install of Interspire Email Marketer.This module is in active development and is still sparse on...


Platforms: PHP

BFRM is a comprehensive implementation of sparse statistical models for high-dimensional data analysis, structure discovery and prediction. The framework of sparse latent factor modelling coupled with sparse regression and anova for multivariate data is relevant in many exploratory and...


Platforms: Mac

Pyspread is a cross-platform Python spreadsheet software based on and written in the Python programming language. Instead of spreadsheet formulas, Python expressions are entered into the spreadsheet cells. Each expression returns a Python object that can be accessed from other cells. These...


Platforms: *nix

SparesPOP is a MATLAB implementation of a sparse semidefinite programming (SDP) relaxation method proposed for polynomial optimization problems (POPs). Please send a message to kojima-spop@is.titech.ac.jp if you have any question and/or request. Features . A MATLAB implementation of sparse...


Platforms: *nix

The JSparse Matrix Package, developed by Philipp Geigenm?*N?ller 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. Features . provides two storing techniques...


Platforms: *nix

The hmmus project has some HMM algorithms implemented in C, and it is meant to be useful under the following conditions: * The sequence of observations to be analyzed is so long that it does not fit conveniently in RAM. * Likelihoods per hidden state per position have been precalculated. *...


Platforms: *nix

The pyoperators package defines operators and solvers for high-performance computing. These operators are multi-dimensional functions with optimised and controlled memory management. If linear, they behave like matrices with a sparse storage footprint.


Platforms: *nix

This is the home page of SLEPc, the Scalable Library for Eigenvalue Problem Computations. SLEPc is a software library for the solution of large scale sparse eigenvalue problems on parallel computers. It is an extension of PETSc and can be used for either standard or generalized eigenproblems,...


Platforms: *nix

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: *nix

This Python package contains some variants of the matching pursuit sparse coding algorithm. Matching pursuit uses a set of "basis functions" or "codebook filters" to greedily encode a raw signal in terms of a weighted sum of filters. Using gradient ascent we can also infer a likely set of filters...


Platforms: *nix

A fast image viewer with a handy unobtrusive user interface - The only image viewer you should need for browsing images. - Small, very fast, highly tuned code, with MMX support! - Optimized display in all video modes - no compromises in image quality. - A very ‘sparse’ but at the same...


Platforms: Windows

Change file / folder date, time (timestamp) and attributes. Expands Windows "property" tabs to display additional file properties. View file and folder content (copy file list to clipboard). View file and directory description. Easy to use. It has an ability to manage Creation date, Modified date...


Platforms: Windows