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The Jonker-Volgenant algorithm is much faster than the famous Hungarian algorithm for the Linear Assignment Problem (LAP). This Matlab implementation is modified from the original C++ code made by Roy Jonker, one of the inventors of the algorithm. It is about 10 times faster than the munkres code (v2.2) of the author. It can solve a 1000 x 1000 problem in about 3 seconds in a normal Intel Centrino processor.

V1.1 returns the dual...



findMIS is an heuristic algorithm for solving Maximum Independent Set problem (MIS).
An independent set of a graph is a subset of vertices in which no two vertices are
adjacent. Given a set of vertices, the maximum independent set...



Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink.
Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink.

Marcelo Augusto Costa Fernandes
DCA - CT - UFRN



This function contains the well known greedy algorithm for solving Set Cover problem (ChvdodAtal, 1979), with two small modifications:
* In case of more than one possible choice at a certain step, the biggest set is chosen;
* Once the...



A simple and fast algorithm for generating doubly-stochasstic matrices.
(matrices, where the sum of each column and each row is exactly 1).
Each matrix is chosen uniformly from the space of all NxN doubly-stochasstic
matrices.



Vibterbi algorithm for HMM inference
Viterbi algorithm based on the Python code found at: http://en.wikipedia.org/wiki/Viterbi_algorithm

Also included is an example based on the one from the Wikipedia page.

The code is...



3D reconstruction algorithm for electron cryo-microscopy
Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map. We propose a more flexible algorithm that...



The Radial Basis Function (RBF) with LMS algorithm for Simulink.
The Radial Basis Function (RBF)
Batch-mode training
Fixed centers selected at random
The Gaussian basis functions
Computing the output weights with LMS...



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



In this file you can find a simple but very effective algorithm for Nearest Neighbour Search which I megalomaniacly called the GLTree.

You want more? go to the Professional version of GLTree

It has been designed for uniformly...



this file you can find a simple but very effective algorithm for Nearest Neighbour Search which I megalomaniacly called the GLTree.

You want more? go to the Professional version of GLTree

It has been designed for uniformly...



Non Convex Optimization Algorithms for Group Sparsity
Solves a dummy OFDM sparse channel estimation problem

Reweighted Lm,p algorithm for noiseless case
min||x||_m,p s.t. y = Ax

Reweighted Lm,p algorithm for noisy...



Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds

Usage
-------

[logl , M , S , P] =...



Firefly algorithm for nonlinear constrained optimization



This programme implements Quasi Linearization Algorithm for searching optimal control trajectory, implemented for example of CSTR from book of Optimal Control Engineering by KIRK,



Word wrap function / algorithm for wrapping text using proportional (versus
fixed-width) fonts.

text: a string of text to wrap
width: the width in pixels to wrap to
extent_func: a function that returns a (w, h) tuple...



Algorithm for solving search and optimization problems.



This is a rate adaptative algorithm for water filling. It is based on John Cioffi development. Coments are written on english and spanish.



the function is GUI that simulate double pendulum by using 4th-order Runge-Kutta algorithm for the differential equations.
the differential equation are very similar to eq. (12) and (13) here:



This upload contains a hybrid Particle Swarm Optimization algorithm for functions in the real space. An options file is also provided, which lets the user fully parameterize the process. The hybrid function used is the @fminsearch, which is...