Showing 6 open source projects for "milp"

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    NVIDIA cuOpt

    NVIDIA cuOpt

    GPU accelerated decision optimization

    NVIDIA cuOpt is a GPU-accelerated optimization engine designed to solve complex mathematical optimization problems at large scale. It supports a range of optimization models including linear programming (LP), mixed integer linear programming (MILP), quadratic programming (QP), and vehicle routing problems (VRP). Built primarily in C++, cuOpt leverages NVIDIA GPUs to deliver near real-time solutions for optimization tasks involving millions of variables and constraints. The platform provides multiple interfaces, including C, Python, and server APIs, allowing developers to integrate optimization capabilities into applications and services. cuOpt is designed for high-performance environments and can be deployed across cloud, hybrid, or on-premise infrastructures. ...
    Downloads: 6 This Week
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  • 2
    Coluna.jl

    Coluna.jl

    Branch-and-Price-and-Cut in Julia

    Coluna is a branch-and-price-and-cut framework written in Julia. You write an original MIP that models your problem using the JuMP modeling language and our specific extension BlockDecomposition offers a syntax to specify the problem decomposition. Then, Coluna reformulates the original MIP and optimizes the reformulation using the algorithms you choose. Coluna aims to be very modular and tweakable so that you can define the behavior of your customized branch-and-price-and-cut algorithm.
    Downloads: 7 This Week
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  • 3

    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: 1,307 This Week
    Last Update:
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  • 4
    Gusek
    GUSEK provide an open source LP/MILP IDE for Win32, packing a custom version of the SciTE editor linked to the GLPK standalone solver.
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    Downloads: 304 This Week
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  • 5
    Bat2015

    Bat2015

    Bachelor of Science (Informatik)

    The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk.
    Downloads: 0 This Week
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  • 6
    ...It aims to ease optimizations of resource usage in factories / production lines. To optimize the models it uses an external linear optimizer.The method is based on MILP(Mix Int Line Prog)
    Downloads: 1 This Week
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