Showing 5 open source projects for "mx linux 32"

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  • 1

    lpsolve

    Mixed Integer Linear Programming (MILP) solver.

    Mixed Integer Linear Programming (MILP) solver lp_solve solves pure linear, (mixed) integer/binary, semi-cont and special ordered sets (SOS) models.lp_solve is written in ANSI C and can be compiled on many different platforms like Linux and WINDOWS This project is moved to github: https://lp-solve.github.io/
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    Downloads: 1,598 This Week
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  • 2
    Simd

    Simd

    High performance image processing library in C++

    ...In particular the library supports following CPU extensions: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2 and AVX-512 for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM. The Simd Library has C API and also contains useful C++ classes and functions to facilitate access to C API. The library supports dynamic and static linking, 32-bit and 64-bit Windows, Android and Linux, MSVS, G++ and Clang compilers, MSVS project and CMake build systems.
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    Downloads: 29 This Week
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  • 3

    Jafaran

    Fast and more random implementations of java.util.Random.

    Jafaran (Java Fast Random) provides fast, and for some more random, implementations of java.util.Random, with additional nextXXX() methods, and methods to retrieve and restore state. The names of implementations contain "Conc" (for concurrent) if they are thread-safe and non-blocking, or "Seq" (for sequential) if they are not thread-safe. Also provides an implementation of Ziggurat algorithm (based on J. A. Doornik paper, 2005), used by nextGaussian() methods of the provided...
    Downloads: 0 This Week
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  • 4
    C++, Matlab and Python library for Hidden-state Conditional Random Fields. Implements 3 algorithms: LDCRF, HCRF and CRF. For Windows and Linux, 32- and 64-bits. Optimized for multi-threading. Works with sparse or dense input features.
    Downloads: 0 This Week
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  • 5
    Software capaz de procesar un texto y codificarlo según la famosa codificación CRC32 de 32 bits. Es una práctica que hemos hecho en MPII. Soy Darío López Padial, estudiante del curso Liberación de Proyectos de Software Libre.
    Downloads: 0 This Week
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