A C++ RAII ( Resource Allocation Is Initialization ) implementation of an automatic pointer/reference. Pointable/Referenced objects are handled in a manner similar to Python. Strives to have the simplest syntax possible.
We introduce our implementation that accelerates the distance matrix computation in the x86 and Cell Broadband Engine (BE) architecture, a homogeneous and heterogeneous multi-core system, respectively.
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Secure P2P Instant Messenger running on .NET Framework 2.0. Uses server to store user information (user name, password, email address, friends list, log in state, IP address) in encrypted form. Uses custom designed symmetric encryption algorithm.
A PHP library to generate and verify Italian national identification number. Una libreria PHP per calcolare e verificare la validità di codici fiscali.
A collection of Concurrent and Highly Scalable Utilities. These are intended as direct replacements for the java.util.* or java.util.concurrent.* collections but with better performance when many CPUs are using the collection concurrently.
"Extended Data Types for PHP" is a collection of PHP5 classes, which provide easily usable common data types like Lists, Trees or Graphs. Installation will be possible via an PEAR Channel or as local library in a website's code base.
The IEEE 1619 Committee open-source reference implementations of encryption algorithms, plus testing and certification suites, for each encryption algorithm included in the standard.
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Java library offering theory of sets/set theory functionality (complement, intersection, symetric difference, union, cartesian product and powerset). There's also an ant task/ant tasks included that provides the library's functionality
a first work algorithm trials to implement a compromise between distributed and centralized version control system.part of research project,it's only a simulation. no real networking is implemented ,only virtual random signal are imaginary produced.
Raiden block cipher: An extremely lightweight and fast block cipher, developed using genetic programming, with the intention to be an alternative to TEA. This cipher is as fast as TEA, and without many of its known weaknesses.
Now part of Apache's Mahout machine learning project at http://mahout.apache.org/-- please see there for latest info and code and releases and support!
Cycleopt optimizes the computational cost of multigrid algorithms. A cost and error model is used to optimally distribute the computational effort among the grids, depending on the desired accuracy of the solution and problem parameters.
ACMgen is an automatic code generator of Asynchronous Communications Mechanisms based on the generation of Petri nets models that can be formally verified against some properties and then transformed into a real implementation (e.g. C++ or Verilog).
The project will be looking at data (the intention is to begin looking at customer name/address data but this may widen over time) and ways to intelligently detect duplicates using fuzzy matching methods and algorithms.
A library with implementation of algorithms for solving Lot Sizing problems. The main focus of the library is on ease of use, while also attempting to keep it as efficient as possible.
A Java package for pretty-printing a text by deciding where to introduce line-breaks and indentation. A Java implementation of Derek Oppen\'s pretty printing algorithm. It is _not_ a pretty printer for Java code, though it could be used to write one.
The NUMIPAD library implements several methods/algorithms to solve inverse problems and adaptive decomposition (i.e. Tikhonov regularization, Total Variation, Basis Pursuit, etc.)
This is an implementation of Donald Knuth's Algorithm X ("dancing links"). This is primarily a sudoku generator and solver, though it can be used to solve other exact cover problems.
The gsuffix library implements serveral algorithms used for enumerative string searches. It incorporates the suffix tree and suffix array data structures as well as some other methods.
The package implements a variety of tools for categorization of multivariate data such as boosted decision trees, bagging and random forest, bump hunting (PRIM), a multi-class learner and others.