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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 problem calls
for finding the independent set of maximum cardinality.

Algorithm run in O(n^2) time, where n is the number of vertices (worst case).
Experimentally: time = 8.1e-007*n^2 +...



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...



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....



In Model-in-the-Loop for Embedded System Test (MiLEST) the developed signal-feature d-deOCt oriented paradigm allows the abstract description of signals and their properties. It addresses the problem of missing reference signal flows as well as...



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



The attached model implements a Sobel edge detection algorithm in Embedded MATLAB.

This demo shows how to read in an image operate on the serialized data and reconstruct the image back from serialized data after applying Sobel...



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...



Algorithm for solving search and optimization problems.



LpAnanlysis
Algorithm for solving problems of the form:
min ||Ax||_p s.t. ||y-Hx||_2 < err

LpSynthesis
Algorithm for solving problems of the form:
min ||x||_p s.t. ||y-Hx||_2 < err

LpplusTV
min...



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



This library implements a randomized algorithm for solving the least-squares equation x = arg min norm(A * x - b, 2) or the underdetermined system min(norm(x, 2)) s.t. Ax=b. With high probability the running this o(mn^2) for an m-by-n matrix.



Constructs discrete least-squares rational approximations to data using the full-Newton algorithm for solving separable non-linear least-squares problems that was developed in:

Carlos F. Borges, A Full-Newton Approach to Separable...



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