Matrices

Bio::NEXUS::MatrixBlock is a Perl module that provides functions for handling blocks that have matrices. SYNOPSIS This module is the super class of Characters, Unaligned, and Distances block classes, and indirectly it is a super-class of Data and History blocks, which are both sub-classes of... Platforms: *nix

Math::Matrix can multiply and invert Matrices. The following methods are available: new Constructor arguments are a list of references to arrays of the same length. The arrays are copied. The method returns undef in case of error. $a = new Math::Matrix ([rand,rand,rand],... Platforms: *nix

Seldon is a C++ library for linear algebra. Seldon provides matrix and vector structures, and some methods and functions for computations (linear algebra). Seldon is designed to be efficient and convenient, which is notably achieved thanks to template classes. Exception handling and several debug... Platforms: *nix

Maxima is a system for the manipulation of symbolic and numerical expressions, including differentiation, integration, Taylor series, Laplace transforms, ordinary differential equations, systems of linear equations, polynomials, and sets, lists, vectors, matrices, and tensors. Maxima yields high... Platforms: Mac, Linux

rxncon is a specialized program that's been designed to generate contingency matrices. rxncon can also generate graphical representations of biochemical signaling networks. As its input it uses specially formatted Excel files. To start using rxncon you first have to upload a specially formated... Platforms: Windows

Maxima is a system for the manipulation of symbolic and numerical expressions, including differentiation, integration, Taylor series, Laplace transforms, ordinary differential equations, systems of linear equations, polynomials, and sets, lists, vectors, matrices, and tensors. Maxima yields high... Platforms: Windows

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

MatrixGen is a Bioinformatics application used to generate scoring matrices from analysis of aligned Amino Acid and DNA data sets. These matrices can then be used by Clustal to generate more accurate alignments. Based upon the Henikoff BLOSUM method. Platforms: Windows, Mac, BSD, Linux

Dependency Structure Matrices (DSMs) are very useful in the analysis and verification of software architectures because they allow the analyst to more easily understand inter-module dependencies than traditional box and arrow techniques which become impossible to use for all but the simplest... Platforms: Windows, ASP.NET,

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

The zip file contains1. A 128x256 Regular (3,6) H matrix (if you need to simulate other codes, need to write your own code for generating those parity check matrices). The file '128x256regular_v6.mat' is for those using Matlab 6.5.2. Files for LDPC code simulation over the AWGN channel.3.... Platforms: Matlab

Two primary files are used for the CSP: csp.m is one file, and csp2.m is by another author. Csp.m requires spatfilt.m to work. The eigenvalue matrix test can be passed, but the U1 and U2 matrices are not equal. Any feedback would be welcome. Platforms: Matlab

This function is a more robust and improved version of my previous submission, matchingpursuit.mThis function computes the projection of a given input vector or matrix onto a "dictionary" of other vectors or matrices using a matching pursuit algorithm. Users may input a vector to be synthesized,... Platforms: Matlab

Let us assume the following MIMO model:Y(k)=HX(k)+Y(k)This file can detect the number of sources, i.e the size of the vector X(k) from the received signal Y(k). The noise is assumed spatially white and the number of receivers must be strictly greater than the number of sources. For more details... Platforms: Matlab

ScaleTime - fast linear matrix interpolationI have recorded timeseries of e.g. size [100'000 x 10] and cut out chunks of about 100 frames according to some events and normalize them to exactly 100 frames.For this task, the direct approach with Matlab's INTERP1 works, but it is slow:... Platforms: Matlab

This a very simple function that produces a condensed, approximate version of the time-series signal y, with each group of n adjacent points in y replaced by its average. You can use this to condense over-sampled signals so that subsequent processing will be easier and faster. Or you can use it... Platforms: Matlab

The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Processes: backwards induction, value iteration, policy iteration, linear programming algorithms with some variants.The functions were developped with MATLAB (note that one of the functions requires the... Platforms: Matlab

SHPATH - shortest path with obstacle avoidance (ver 1.3) Given a "terrain" matrix consisting of zeros (for open space) and ones (for obstacles), this function computes the shortest path between two specified points while avoiding obstacles.A two-stage solution is employed. In stage one, the... Platforms: Matlab

The script plots the envelope of the bode plot for a parametric uncertain/interval system.interval_bode(NumVec,DenVec,clr)The function accepts the numerator (NumVec) and denominator (DenVec) of the uncertain system as matrices of two rows each. The first row containing the lower bounds and the... Platforms: Matlab

D = DISTMAT(X,Y) for matrices X and Y returns the distance matrix where the (i,j)th entry is the d-norm distance between the ith and jth row of X and Y respectively.DISTMAT(X,Y,d) computes a specific d-norm distance. Default=2[D,XI,YI]=DISTMAT(X,Y,d,var) gives the indices of the sorted values of... Platforms: Matlab