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QuickMP (Quick Multi-Processing) is a simple cross-platform C++ API for generating parallel for loops in shared-memory programs, similar to OpenMP. It provides automatic scalable performance based on the number of available processors.
Matho is a OS Independant Application and API for mathematical operations, features include curve sketching, calculus, iterative formulae, algebra solver, 2d/3d geometry and mechanical and statistical functionality.
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PyLife is an implementation of the game of life algorithm featuring parallel programming. It uses MPI and python to achieve a consistent software architecture and reliably performance.
The Distributed Genetic Programming Framework is a scalable Java genetic programming environment. It comes with an optional specialization for evolving assembler-syntax algorithms. The evolution can be performed in parallel in any computer network.
malkriz is solver for griddlers (japanese puzzle) written as simple portable classes in c++. You'll find here complete programs using it, written for MSVC6, Qt and cgi. Web version (in slovak language): http://frix.fri.utc.sk/~johny/mkfrm.php
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Very fast and easy to use Java tool for solving and generating Sudoku puzzles. By using Donald Knuths exact cover algorithmus it can not only solve or create the usual 9x9 but also 4x4, 16x16 or even bigger Sudokus in a very efficient way.
A Fast MAC based 3D Free surface fuid solver. Capable also of simulating viscoelastic fluids.Includes also wave equation solver for simulating shallow water phenomena.
User friendly application with graphical interface, for creating and training
a multi-layer feed-forward neural-networks. The application is intended for systems of GRID computation.
This simplesudodu program is intend for studying in the sudoku solution algorithm rather than a game (If you want to make it a game, it's OK ^_^). Later I will implement the 4*4 or other kinds. Different sudoku requires different algorithm to solve.
Solves the given cubes puzzles and prints the solution
Solves the given cubes puzzles and prints the solution
1. You may download code:
git clone git://git.code.sf.net/p/happycubesolver/code happycubesolver-code
2. Build:
mvn clean install assembly:assembly -DskipTests -Dmaven.test.skip=true -DdownloadSources=true -Dcheckstyle.skip=true
3. Run:
java -jar target/cubes-1.0-fat.jar
SCOPE stands for Symbolic COmputation Parallel Environment. We aim at providing an environment for symbolic computation, that is easily expandable, easy to use, parallel, effective and free.
The LisBON Framework is an adaptable framework for developing new parallel Memetic Algorithms (hybrid search algorithms for efficiently solving optimisation problems).