Transposition Cipher Algorithm

This is an application of the Greedy Algorithm and the Local Search for finding a solution for the SC Distribution Network problem.We dealt with one level SC composed of a set of factories and a set of Sales Points, each sales point has a demand at a certain time, each factory has a production...

Munkres algorithm (also known as Hungarian algorithm) is an efficient algorithm to solve the assignment problem in polynomial-time. The algorithm has many applications in combinatorial optimization, for example in Traveling Salesman problem.There are a few submissions in the File Exchange for the...

We use the genetic algorithm (gatool) to determine the three parameters of the simple Antoine equation and the six parameters of the Modified Antoine Model. Predictions are in perfect agreement with experimental data of vapor pressure of ethanol versus temperature for a temperature range from...


Platforms: Matlab

The code implements the algorithm as given in Chen et. al 1991.It takes max tolerance from the user.It selects Ms significant regressors from the total M regressors.Unfortunately, the error obtained after training the RBF network isn't as expected. Is there a mistake in my code???Please feel free...


Platforms: Matlab

A new metaheuristic optimization algorithm, called Cuckoo Search (CS), is fully implemented, and the vectorized version is given here. This code demonstrates how CS works for unconstrained optimization, which can easily be extended to solve various global optimization problems efficiently.


Platforms: Matlab

Firefly algorithm for nonlinear constrained optimization


Platforms: Matlab

An implementation of "A min cut algorithm" by Stoer and Wagner.In addition there is an option to find the minimal cut that does not separate a set of vertices.This is not a mincut-maxflow algorithm.Updated version.


Platforms: Matlab

General implementation of matlab version of Viterbi algorithm specifically written for gene structure finding problem in mind. However, it can be modified to suit the goal of a user.Input:Transition Probability MatrixEmission Probability MatrixInitial Probability MatrixStates Matrix (ie....


Platforms: Matlab

This function do the Euclid's algorithm. As a matter of fact, for two given polynomials n, m (which are the polynomials of the symbolicvariable "s") it gives two other polynomials x, y such that nx+my=1.


Platforms: Matlab

The example is on developing an algorithm for detecting an object (green ball) in MATLAB. The demo highlights* image import (and video import)* image visualization* simple image processing* automatic report generation* GUI building* deploying stand alone applicationYou can find the recording of...


Platforms: Matlab

This m-file give you the Nipals algorithm to realize a Principal Components Analysis for statistical study. I realize this program specifically with an aim of analysis spectroscopic data. Use 'help' for description


Platforms: Matlab

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.


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

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

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