Freeware Listing: Algorithms Informative

In the day-to-day running of your computer you tend to create lots of files. These files are often copies of other files, thus leading to potentially wasted space on your system. These files are easy to create and unfortunately often very difficult to find and remove. DupeDestroyer uses an advance algorithm to find, and with your approval, eradicate these unwanted files.

Features at a glance

Intuitive & Effective user interface.

Get the job done without learning a complex interface.

Finding duplicates is quite complex. DupeDestroyer eases this burnden by using a simple wizard based user interface.

  • Platform: Windows 7, WinOther, WinVista

Companion software for the Direct Adaptive Control Algorithms: Theory and Applications, 2e book by Howard Kaufman, Itzhak Barkana & Kenneth Sobel.

  • Platform: Matlab, Scripts

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 case min||x||_2,p s.t. ||y - Ax||_q Smoothed L2,0 algorithm solves a smooth version of min||x||_2,0 s.t. y = Ax Reweigted Lm,p is an extension of the Lp algorithm proposed in: Rick Chartrand and Wotao Yin, "Iteratively reweighted algorithms for compressive sensing", in 33rd International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008 Smoothed L2,0 is the group version of the SL0 algorithm: Hossein Mohimani, Massoud Babaie-Zadeh, Christian Jutten, "A fast approach for overcomplete sparse decomposition based on smoothed L0 norm", IEEE Transactions on Signal Processing, Vol.

  • Platform: Matlab, Scripts

Files used in the Webinar "Developing a Financial Market Index Tracker using MATLAB OOP and Genetic Algorithms" The zip file contains the data and files used to develop an application to track a market index using Genetic algorithm. The initial algorithm is then wrapped up in MATLAB OOP to create an applcation, which can then be tested against the data. Also included aresimple demo files of both genetic algorithms and MATLAB OOP..

  • Publisher: Mark Hoyle
  • Date: 19-03-2013
  • Size: 2099 KB
  • Platform: Matlab, Scripts

Genetic Algorithms Library, or was specially developed as an accessible and useful API that is intended to help developers use genetic algorithms in their own Java applications.

The Genetic Algorithms Library can now be used to further improve your development process.



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  • Platform: WinOther

Cardiology Algorithms was designed and created as an educational tool that allows you to learn more about various emergency cardiology algorithms.

Cardiology Algorithms was developed in Java and can be used to quickly test your medical knowledge.


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  • Platform: WinOther

Sorting Algorithms was developed as a small and useful Java tool that displays different sorting algorithms working on the same set of data.

The user can modify the speed of execution and the type of data to sort and execute it step by step.

The tooltip of each algorithms shows the source code that is executed and a little explanation got from Wikipedia.

This application is designed for computer science students who want to better understand how the algorithms work.


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  • Platform: WinOther

Lexicographic Algorithms is a simple and lightweight application for calculating lexicographic order of combinations using two algorithms.

It can be used to determine the index for a combination or to calculate the combination for a certain rank. The algorithms are fast and can be used for more complex data sets.

For instance, you can use Lexicographic Algorithms to calculate combinations of numbers for a lottery game.

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  • Platform: WinOther

Process Scheduling Algorithms is an application that allows you to learn about the scheduling algorithms in your system.

The program uses the Gantt chart in order to calculate the Average Waiting Time and Turnaround Time. Learn about the scheduling algorithms that are applied in all operating system with this tool!


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  • Platform: WinOther

A.I. Solver Studio is a unique pattern recognition application that deals with finding optimal solutions to classification problems and uses several powerful and proven artificial intelligence techniques including neural networks, genetic programming and genetic algorithms. No special knowledge is required of users as A.I. Solver Studio manages all the complexities of the problem solving internally. This leaves users free to concentrate on formulating their problems of interest.Typically, all that is required of users is that they formulate their problems by creating training data and test data.

  • Platform: Windows Server, Windows Vista, WinOther

FREE DiceLock Security JDigesterCheck GUI and JHashDigester .jar extension library. If in your process or software applications you have need for generating hash values for different type of information you can incorporate JHashDigester .jar extension library in your applications to generate the hash you need. Incorporate hash processors in your applications. JHashDiegester .jar extension library contains classes implementing SHA 1, SHA 224, SHA 256, SHA 384, SHA 512, RIPEMD 128, RIPEMD 160, RIPEMD 256, RIPEMD 320 hash algorithms. JHashDigester 5.0.0.1 is able to share data with JDiceChecker 5.

  • Platform: Java, Windows Server, Windows Vista, WinOther

FREE DiceLock Security JDigesterCheck GUI and JHashDigester .jar extension library. If in your process or software applications you have need for generating hash values for different type of information you can incorporate JHashDigester .jar extension library in your applications to generate the hash you need. Incorporate hash processors in your applications. JHashDiegester .jar extension library contains classes implementing SHA 1, SHA 224, SHA 256, SHA 384, SHA 512, RIPEMD 128, RIPEMD 160, RIPEMD 256, RIPEMD 320 hash algorithms. JHashDigester 5.0.0.1 is able to share data with JDiceChecker 5.

  • Platform: Java, Mac OS X, Mac OS X 10.4, Mac OS X 10.5

FREE DiceLock Security iHashDigester C++ iOS 5 '.a' static library for iPhone, iPad and iPod. If in your process or software applications you have need for hash computation, you can incorporate iHashDigester static library in your applications to generate the hash you need. Incorporate hash algorithms in your applications. C++ '.a' static library contains classes implementing SHA 1, SHA 224, SHA 256, SHA 384, SHA 512, RIPEMD 128, RIPEMD 160, RIPEMD 256, RIPEMD 320 hash algorithms. iHashDigester 5.0.0.1 is able to share data with iDiceChecker 5.0.0.1 random number test and iDiceLock 5.0.0.1 encryption cipher products.

  • Platform: iOS 4.x, WinOther

A general purpose GA toolkit implemented in Java, designed for experimenting with genetic algorithms and handling diverse optimization problems..

  • Platform: JavaScript, Scripts

A package of Rijndael, Twofish and Serpent encryption algorithms implemented in x86 assembly. Meant to learn basics of assembly, learn about the algorithms or to be used in a C program..

  • Platform: WinOther

Algorithms that optimally & efficiently map atomic reactions. See 1) Atomic Reaction Mapping {Crabtree: amazon, b&n} 2) J. of Exp. Algorithmics, Vol 13 {Crabtree, Mehta} 3) J. Chem. Inf. Model., 2010, 50 (9), pp 1751-1756 {Crabtree, Mehta, Kouri}..

  • Platform: WinOther

The aim of the project is to provide open source collection of algorithms in the field of spectroscopy: data handling and processing, modeling and artificial intelligence tools..

  • Platform: Linux, Mac OS X, WinOther

Major looseless compression algorithms library and documentation. First project: Arithmetic, Huffman, LZ77, LZ78, LZW, RLE. Second project reimplements Deflate. Documentation explains major Entropy Compression Methods..

  • Platform: Linux, Unix, WinOther

This project aims to create an open source genetic algorithms (GA) library for the IBM Cell BE processor. A well-documented implementation of GAs is provided, along with a number of sample fitness functions illustrating how to use the GA library..

  • Platform: Linux

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..

  • Platform: Linux, Mac OS X, WinOther

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