Cryptography Algorithms

This is a cross-platform framework for using Genetic Algorithms for solutions. Written in Java and uses convinient plug-in features for every phase in the genetic development, while maintaining an easy-to-use API for easy integration into applications.

GrALoG is a tool for editing and visualising graph-like-structures and the results of algorithms running on them. Through it's plugins GrALoG is hugely extendable, i.e. plugin-developers can define their own graph-like structures and algorithms.

An optimized java library for genetic algorithms. The library is designed to be fast and memory light, but still very easy to use.


Platforms: Windows, Mac, Linux

A library of algorithms for general purpose use to alter representations of 3D meshes. Currently tested in the GNU/Linux and Win32 environments. C++ STL, OpenGL, GLUT, VRML97.


Platforms: Windows, Mac, Linux

The NSketch library provides implementations of most common sketch-based algorithms (histograms, quantile, frequent items, bloom filter ...). The library is written in C# for .Net.


Platforms: Windows, Mac, Linux

Randomized Algorithms Control Toolbox is a Matlab toolbox, provides analysis and synthesis methods for control problems with uncertainties.


Platforms: Windows, Mac, Linux

A collection of plug-in algorithms for the WEKA machine learning workbench including artificial neural network (ANN) algorithms, and artificial immune system (AIS) algorithms.


Platforms: Windows, Mac, Linux

As3 Crypto is a cryptography library written in Actionscript 3 that provides several common algorithms. Features: - Public Key Encryption: RSA (partial. encryption only.) - Secret Key Encryption: AES, DES, 3DES, BlowFish, XTEA, RC4 - Confidentiality Modes: ECB, CBC, CFB, CFB8, OFB, CTR -...


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

This script presents two approaches to generate all combination of elements from a number of sets. It compares "classic" statically coded algorithms to a pythonic on-the-fly generation of specific algorithm code.


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

Two 2D phase unwrapping approaches are included:1. Phase quality guided path following method.2. Goldstein's branch cut method.The algorithms are described in:D. C. Ghiglia and M. D. Pritt, Two-Dimensional Phase Unwrapping:Theory, Algorithms and Software. New York: Wiley-Interscience, 1998


Platforms: Matlab

This zip file contains the Presentation (PDF) and M-files that were demonstrated in the MathWorks Webinar: Using Genetic Algorithms in Financial Applications delivered on Dec 11 2007.The purpose of the webinar was to highlight how Genetic Algorithms may be used to supplement portfolio...


Platforms: Matlab

I was trying out modifications of the LMS algorithm so that it will converge faster and the mean square error will also be smaller. Getting to one of the drawbacks of LMS, that it has only one controllable parameter "mu", the selection of whose value will be the most critical from design point of...


Platforms: Matlab

This program generates a two-out-of-two Visual Cryptography Scheme shares. The input image for this program should be a binary image. The shares and the overlapping result of the shares are written as output. The Shares (1 & 2) can be printed in separate transparent sheets and overlapping them...


Platforms: Matlab

The script allows to easily fit predefined complex analytical laws exploiting the potentiality of Genetic Algorithms.The script receives as input the handle to the analytic laws to be fitted to data. Such law may depend on multiple variables and several parameters. This optimization approach may...


Platforms: Matlab

The code given shows how Weka algorithms can be run in parallel across distributed computers using Matlab to take advantage of available hardware and quicken algorithm completion time on multiple data sets or parameter sets.Parallel processing of Weka algorithms is handled here in Matlab as...


Platforms: Matlab

Two simple models are provided showing the characteristics of basic iterative algorithms for the inversion of kinematics, namely the Jacobian transpose, its pseudo-inverse and the damped least-squares (DLS). The pro's and con's can be compared interactively for a serial two-links and a...


Platforms: Matlab

Generates Message Digest using algorithms : SHA160, SHA-224, SHA256,SHA384,SHA512 Support for Bit Oriented Message -- Enter Message Length in Bits -- Either enter Message (HEX) or -- generate a random message of length LEN in Bits -- Select the Algorithm to generate MESG DIGEST LEN :: Enter Bit...


Platforms: Matlab

In cryptography, SHA-1 is a cryptographic hash function designed by the United States National Security Agency and published by the United States NIST as a U.S. Federal Information Processing Standard. SHA stands for "secure hash algorithm". The three SHA algorithms are structured differently and...


Platforms: Mac

In cryptography, SHA-1 is a cryptographic hash function designed by the United States National Security Agency and published by the United States NIST as a U.S. Federal Information Processing Standard. SHA stands for "secure hash algorithm". The three SHA algorithms are structured differently and...


Platforms: Mac

In cryptography, SHA-1 is a cryptographic hash function designed by the United States National Security Agency and published by the United States NIST as a U.S. Federal Information Processing Standard. SHA stands for "secure hash algorithm". The three SHA algorithms are structured differently and...


Platforms: Mac