Eigenvectors

The Matrix ActiveX Component is a useful tool that can simplify the use of matrix operations for mathematical computations in application development. "It provides for matrix operations such as addition, subtraction, multiplication, inversion, transpose, and computation of determinant, LU and...

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...

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, 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, 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

This function takes in two matrices P and D, presumably the outputfrom Matlab's eig function, and then sorts the columns of P tomatch the sorted columns of D (going from largest to smallest)EXAMPLE:D = -90 0 0 0 -30 0 0 0 -60P = 1 2 3 1 2 3 1 2 3[P,D]=sortem(P,D)P = 2 3 1 2 3 1 2 3 1D = -30 0 0 0...


Platforms: Matlab

Performs computations associated with matrices, including solution of linear systems of equations (even least squares solution of over-determined or inconsistent systems and solution by LU factors), matrix operations (add, subtract, multiply), finding the determinant, trace, inverse, adjoint, QR...


Platforms: Windows

Numerical Mathematical Utilities offer powerful, specialized, mathematical capabilities, they are for immediate online use, and since they run within a web browser, they work on all the operating systems. Among the tools offered are utilities for solving the Quadratic, Cubic, and Quartic...


Platforms: Any Browser+Javascript

The LTI-Lib is an object oriented library with algorithms and data structures frequently used in image processing and computer vision. The main goal of the LTI-Lib is to provide an object oriented library in C , which simplifies the code sharing and maintenance, but still providing fast...


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

PDL::Slatec is a PDL interface to the slatec numerical programming library. SYNOPSIS use PDL::Slatec; ($ndeg, $r, $ierr, $a) = polyfit($x, $y, $w, $maxdeg, $eps); This module serves the dual purpose of providing an interface to parts of the slatec library and showing how to interface PDL...


Platforms: *nix

- Subtracting the mean of the data from the original dataset - Finding the covariance matrix of the dataset - Finding the eigenvector(s) associated with the greatest eigenvalue(s) - Projecting the original dataset on the eigenvector(s) - Use only a certain number of the eigenvector(s) - Do...


Platforms: Matlab

This e-book is based on the Student Edition of MATLAB 7, which includes a symbolic toolbox. The Professional Edition may of course also be used. The goal is to exploit a restricted subset of MATLAB commands and functions to explore most of the elements of undergraduate mathematics. All items from...


Platforms: Matlab

[blockVectorX,lambda]=lobpcg(blockVectorX,operatorA)outputs the array of algebraic smallest eigenvalues lambda andcorresponding matrix of orthonormalized eigenvectors blockVectorX of the Hermitian (full or sparse) operator operatorA using input matrix blockVectorX as an initial guess, without...


Platforms: Matlab

This function calculates the principal curvature directions and values of a triangulated mesh. The function first rotates the data so the normal of the current vertex becomes [-1 0 0], so we can describe the data by XY instead of XYZ. Secondly it fits a least-squares quadratic patch to the local...


Platforms: Matlab

Doornik-Hansen (1994) introduce a multivariate version of the univariate omnibus test for normality of Shenton and Bowman (1977), based on the transformed skewness and kurtosis. Due that the skewness and kurtosis are not independently distributed and the kurtosis approaches very slowly to...


Platforms: Matlab

Smale horseshoes, curvilinear rectangles and their U-shaped images patterned onSmaled-deOaos famous example, provide a rigorous way to study chaos in dynamicalsystems. This program is written according to the algorithm proposed in thepaper, which has submitted to DDSN d-deDUAn algorithm to...


Platforms: Matlab

Ok i'm new to this, so i hope to do this right. I had to study the longitudinal stability of an airplane and i needed to put the eigenvalue in order. i searched the net and found this http://www.mathworks.com/matlabcentral/fileexchange/22885 but it didn't work for me with the complex eigenvalues....


Platforms: Matlab

Two MATLAB routines for calculating eigenvalues and eigenvectors of the topographic Rossby wave equation, for arbitrary shelf profiles, using a pseudospectral method. This method accommodates at the shelf-ocean boundary the exact boundary condition, and an approximate boundary condition...


Platforms: Matlab

The code for the spectral graph clustering concepts presented in the following papers is implemented for tutorial purpose:1. Ng, A., Jordan, M., and Weiss, Y. (2002). On spectral clustering: analysis and an algorithm. In T. Dietterich, S. Becker, and Z. Ghahramani (Eds.), Advances in Neural...


Platforms: Matlab