Rsa Algorithm

Firefly algorithm for nonlinear constrained optimization

Eye iris identification algorithm demo application for MS Windows. The robust proprietary iris recognition technology accepts images with gazing away eyes or narrowed eyelids and provides reliable iris matching at speeds up to 150,000 irises per second. The demo application reads iris images from...

Maximal independent sets come in handy for certain applications. The Bron-Kerbosch algorithm is a well-known algorithm for listing all the maximal independent sets.It is used for finding maximal cliques or finding the maximal independent sets in the complementThis file is an implementation of...


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

RSA.rb is a pure-Ruby implementation of the RSA encryption algorithm and the PKCS#1 cryptography standard.


Platforms: Ruby

It's a deterministic iterative zero order algorithm that can be used to solve unconstrained optimization problem. It finds the relative minimum of a two variables function with a deterministic iterative zero order algorithm. Pattern search method It finds the relative minimum of a two variables...


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

This is a GUI for DTMF generator-decoder using Goertzel's algorithm.Has options to change Number of samples and Noise power that could be added at the generator.Suggestions and comments is always welcome.Now i am working on medical image pattern recognition techniques.It would be great if...


Platforms: Matlab

3D reconstruction algorithm for electron cryo-microscopyTraditional 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 adaptively chooses the basis based on the data. Because...


Platforms: Matlab

RSA encryption, decryption, create signature, verify signature, generate keys, import/export.


Platforms: Windows

The algorithm computes the optimal route from a fixed predetermined starting point to all other cities without returning to the starting point. Requirements: - MATLAB 7.6 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

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 areadjacent. Given a set of vertices, the maximum independent set problem callsfor finding the independent set of maximum...


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

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

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

The Data Structure & Algorithm Library (DSAL) is a library of classical data structure and algorithm.


Platforms: Windows, Mac, BSD, Linux

The k-means algorithm is widely used in a number applications like speech processing and image compression.This script implements the algorithm in a simple but general way. It performs four basic steps.1. Define k arbitrary prototypes from the data samples.2. Assign each sample to the nearest...


Platforms: Matlab

Golden section method - searching for minimum of the function on given interval files:golden.m - main algorithm, computing minimum on intervalf.m - given function - file to modify by the user!


Platforms: Matlab

The algorithm that modeling the processof arbitrary picking matches from matchboxes with equal probability. The process will terminate when one of matchboxes get empty


Platforms: Matlab