Singular Value

The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. It can be used to solve systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalues and eigenvectors problems, and singular value problems.... Platforms: Windows, Other

The Bluebit .NET Matrix Library provides classes for object-oriented linear algebra in the .NET platform. It can be used to solve systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalues and eigenvectors problems, and singular value problems.... Platforms: Windows

OptiVec contains more than 3500 hand-optimized, Assembler-written functions for all floating-point and integer data types from the following fields: 1. Vectorized form of arithmetic operators and math functions. 2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular... Platforms: Windows, Other

OptiVec contains more than 3500 hand-optimized, Assembler-written functions for all floating-point and integer data types from the following fields: 1. Vectorized form of arithmetic operators and math functions. 2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular... Platforms: Windows, Other

OptiVec contains more than 3500 hand-optimized, Assembler-written functions for all floating-point and integer data types from the following fields: 1. Vectorized form of arithmetic operators and math functions. 2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular... Platforms: Windows, Other

OptiVec contains more than 3500 hand-optimized, Assembler-written functions for all floating-point and integer data types from the following fields: 1. Vectorized form of arithmetic operators and math functions. 2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular... Platforms: Windows, Other

OptiVec contains more than 3500 hand-optimized, Assembler-written functions for all floating-point and integer data types from the following fields: 1. Vectorized form of arithmetic operators and math functions. 2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular... Platforms: Windows, Other

Free Matrix calculator is a practical math tool to calculator real matrix and complex matrix. As you see, it's easy, various, and effectual. Download and try it. Function: Matrix inverse. Matrix transpose.Largest component. Smallest component. Matrix or vector norm.Dimension. Sum of diagonal... Platforms: Windows

Function: * Matrix inverse. * Matrix transpose. * Largest component. * Smallest component. * Matrix or vector norm. * Dimension. * Sum of diagonal elements. * Determinant. * Matrix rank. * Eigenvalues. * QR factorization. Orthogonal-triangular decomposition. * LU factorization. *... Platforms: Windows

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

This application is an open-source machine learning program for supervised classification of patterns (vectors of measurements). PCP implements the following algorithms and methods: - Fisher's linear discriminant - dimensionality reduction using Singular Value Decomposition - Principal... Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

I started with Adam Wyatt's FROG program (on this website) but added to it and edited it beyond recognition. I did, however, subtract one useful feature: This program, as written, is SHG-FROG and GRENOUILLE only!! (Adam Wyatt's program was more general.)--> The program "prepFROG" takes a raw... Platforms: Matlab

Statistics fundamentals of the Correspondence Analysis (CA) is presented in the CORRAN and MCORRAN1 m-files you can find in this FEX author''s page. CA can be extended to more than two categorical variables, called Multiple Correspondence Analysis (MCA). CA and MCA are graphical techniques for... Platforms: Matlab

Contains three matrix completion algorithms and a demo script for running them. Also compares against other matrix completion algorithms - Singular Value Thresholding and Fixed Point Iteration.Solves the following three optimization problems:min rank(X) subject to ||y - M(X)||_2 Platforms: Matlab

Features:1-Calculate Exactly & Display Table Of Routh Hurwitz In Listbox Similar Project Can't Solve Accurate Routh-Hurwitz Stability Criterion For Example This Equation [1 1 3 3 3 2 1] Have All Element And First Element Zero Simultaneity And I Test Any Project And None Solve It 2-Determine Where... Platforms: Matlab

This function does the decomposition of a separable nD kernel intoits 1D components, such that a convolution with each of thesecomponents yields the same result as a convolution with the full nDkernel, at a drastic reduction in computational cost.SYNTAX:======= [K1,KN,ERR] =... Platforms: Matlab

Statistic fundamentals of he Correspondence Analysis (CA) is presented in the CORRAN m-file you can find in this FEX author''s page. CA can be extended, a this m-file makes, to more than two categorical variables, called Multiple Correspondence Analysis (MCA).Karl Pearson (1913) developed the... Platforms: Matlab

Canonical discriminant analysis is a dimension-reduction technique related to principal component analysis and canonical correlation called canonical discriminant analysis. It derives the canonical coefficients parallels that of one-way MANOVA and it finds linear combinations of the quantitative... Platforms: Matlab

CONVOLVE2 can be used wherever CONV2 is used, taking the same arguments and returning the same results to within a small tolerance. The computation is speeded up by using the singular value decomposition of the mask to express it as a sum of outer products. Each of these can be computed... Platforms: Matlab

LAPACK++ is a library for high performance linear algebra computations. This version includes support for solving linear systems using LU, Cholesky, QR matrix factorizations, for real and complex matrices. Features . Real and complex-valued Matrix Operations . Fast Linear Equation... Platforms: *nix