Search Results for "mingw gnu for linux"
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Showing 23 open source projects for "mingw gnu for linux"
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CLISP is a portable ANSI Common Lisp implementation and development environment by Bruno Haible. Interpreter, compiler, debugger, CLOS, MOP, FFI, Unicode, sockets, CLX. UI in English, German, French, Spanish, Dutch, Russian, and Danish.
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Freemat is an interpreted, matrix-oriented development environment for engineering and scientific applications, similar to the commercial package MATLAB. Freemat provides visualization, image manipulation, and plotting as well as parallel programming.
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fzcal
A calculator capable of complex arithmetics
A command line calculator capable of complex arithmetics. -
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mcrypt, and the accompanying libmcrypt, are intended to be replacements for the old Unix crypt, except that they are under the GPL and support an ever-wider range of algorithms and modes.
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A Interactive Network VideoGame
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libNT is a Number Theory Library which is based on a BigInteger Class. It will contain several algorithms for solving Number Theory Problems. Written in the IDE Code::Blocks
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Iterate function viewer for Windows and Linux. It has built in 14 different iterate {Mandelbrot) functions. Many possibilities for changing parameters, saving as bitmap or small file. windows-32. Linux 32 - 64bit. Low level written in assembler.
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A strong, yet minimalistic Math-oriented Programming Language (MML) providing an easy-to-use console and a command-line script interpreter, targetted towards fast calculations for extremely big numbers, and bundled with a number of math libraries.
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Magneticle is a 3D OpenGL physical simulation that applies the Biot-Savart law to charged particles operating inside a magnetic field produced by a current-carrying wire modeled as an arbitrary space curve.
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This library is meant for high performance calculations for science or 3D games/rasterizers using SIMD instructions of x86 processors to allow an unparalleled level of optimization. This takes advantage of MMX, 3DNow!, 3DNow!+/MMX+, & SSE/SSE2/SSE3/SSSE3
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x86mph is an optimized library with vector, matrix, and vertex helpers (including an own TnL) It also contains memory helpers, and other stuff such as image processing (color inverting, changing bpp) taking advantage of x86's 3DNow!, MMX, and SSE
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A generic C++ matrix library using expression template and metaprogramming to provide specialized code for various kind of matrix operations.
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FFFF is the fastest Win32/OSX/Linux/IRIX Mandelbrot generator. Features OpenGL, realtime zoom, SSE/AltiVec QuadPixel, SSE2/3DNow! DualPixel calc, FPU per pixel calc, GPU asm (Fragment/Vertex) calc, multiprocessor support, and benchmarking. Opt asm code!
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The Wolfram Machine project is an effort to create a set of documentation and useful modules (both hardware and software) for a computing architecture based on the mathematical theories presented in Steven Wolfram's book _A_New_Kind_of_Science_.
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Hosting home-made software which is mathematically proven to be correct. We make use of tools like HOL, PVS, ...
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Glucas is a client to make primality test for Mersenne numbers. It is related to GIMPS effort to search the bigest primes ever found. In addition, it can be used as an excellent performance test. Posix thread, OpenMP and SunMP compatible
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The goal is to use distributed computing in the least bandwidth-intensive way to find a large prime number. We will have four parts to the project.
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This is a port of the GNU MultiPrecision library of C arbitrary-precision arithmetic routines to IA-64, with a focus on efficient (assembly) IA-64 routines for mul_basecase.c and sqr_basecase.c
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This STL-like C++ library contains classes for long integer numbers processing with using of assembler functions as a backend. Lazy evaluation is also used for optimization. It also contains generic implementation of classical number-theory algorithms.
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Fast-Fourier-Transform-based number theory code to test Mersenne numbers for primality using the Lucas-Lehmer test and the Crandall-Fagin irrational-base discrete weighted transform (IBDWT) algorithm (Math. Computation 62 (205), pp.305-324, January 1994)
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Improving the speed of the signal analysis code for Seti@home. Leveraging modern processors advanced features such as SIMD and parallel execution units, as well as identifying better methods to code existing functions.
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