Gaussian Elimination Algorithm

The rainflow algorithm code has been prepared according to the ASTM standard (Standard practices for cycle counting in fatigue analysis) and optimized considering the calculation time.

This Matlab program Solve N-equation with Gauss elimination method and check results with Matlab Function.

EM estimation of parameters of bi variate NIG distribution.The test file:1. Simulate biNIG sample with use of randraw.m (http://www.mathworks.com/matlabcentral/fileexchange/7309)or invgrnd.m (http://www.mathworks.com/matlabcentral/fileexchange/10934) .2. Calls EMBIVNIG.m (values of starting...


Platforms: Matlab

Implementation of Valiaho's algorithm to determine the handicap based on paperH. Valiaho. Determining the handicap of a sufficient matrix. Linear Algebra and Its Applications, 253:279-298, 1997.


Platforms: Matlab

This is the implementation of CAIM algorithm. Only one function is offered. Any corrections or improvements, please let me know. CORRECTED....****


Platforms: Matlab

a kind of usefull clustering algorithm that is better than kmeans and ward hierarchical clustering algorithms in some data sets


Platforms: Matlab

This is a very user friendly Gram Schmidth Algorithm implemented in MATLAB.I have already submited a file of the same algo,bt this one is bit more flexible than previous.Hope u will find it useful.


Platforms: Matlab

Simple Zero Phase Distortion Multiplier-less Gaussian Low-Pass & High-Pass Digital Filter of a Linear Chirp.


Platforms: Matlab

Computes the Gaussian function in 1D:exp(-log(2)*(2*(x-x0)./FWHM).^(2*floor(abs(order))));Where:x = Co-ordinatex0 = Centre of functionFWHM = Full Width Half Max of the functionorder = Gaussian orderNormal Gaussian is of order 1.Note that FWHM = (1/e Half Width)/sqrt(2*log(2))log is the natural log.


Platforms: Matlab

This function infers the unobserved regimes and provides estimates for the parameters of a Gaussian mixture with two states using the EM algorithm.Exact references to the relevant equations from Hamilton (1994), Chapter 22 can be found in the procedure.Any Tx1 data vector can be fed into the...


Platforms: Matlab

GAUSSian REALIZation of a random variable with standard deviation sigma and correlation length lambda


Platforms: Matlab

Fits Gaussian curve into pointsThe function fits Guassian probability density function into a set of points. Standard deviation and mean are returned.


Platforms: Matlab

Matrix permanent calculated using the fast Ryser Algorithm.Uses the Ryser Formula to calculate the permanent of a matrix. It is O((n^2)(2^n)) which is much faster than the naive algorithm O(n!n). The determinate of a matrix is defined as the analog of determinant where the signs ofeach term in...


Platforms: Matlab

Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink.Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink.Marcelo Augusto Costa FernandesDCA - CT - UFRNmfernandes@dca.ufrn.br


Platforms: Matlab

This code implements Bresenham Line Algorithm with slight modification of error term in respect of computation efficiency that it does not require any division process. Hence it is more efficient. Also it has been generalized to draw lines of any slope. Point input order is thus insignificant. I...


Platforms: Matlab

Basic GUI for Beam Propagation Method for advancing gaussian beam in a profiled medium.It can be used to demonstarate the concept of beam propagation.Any comment will be welcomed.


Platforms: Matlab

Calculates a rotated 2D gaussian (cylindrical)y = gauss2D_R(X, Y, FWHM_x, FWHM_y, theta, order);X = Matrix of x indicesY = Matrix of y indicesFWHM_x = FWHM in x dimensionFWHM_y = FWHM in y dimensiontheta = Rotation angle in degress (+ve = anticlockwise)order = Gaussian orderSet:X = ones(Ny, 1) *...


Platforms: Matlab

Kruskal's algorithm is used to find the branches of a ''tree'' having the minimum weight in a system of branches. The application of this algorithm is wide. One example is in finding the shortest (and cheapest) path of interconnecting several towns with an electric network.The GUI was built using...


Platforms: Matlab

this function plots the 2D multivariate gaussian when the mean and covariance are provided. It does not use for loops. ex: plot mean=[10;11],cov=[6 0;0 6] 2D multivariate gaussian function >> mvg([10;11],[6 0;0 6])


Platforms: Matlab

Compute the distance map to a set of points using the fast marching algorithm.Solves the 2-D eikonal PDE.


Platforms: Matlab