Showing 2 open source projects for "qp"

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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: 3 This Week
    Last Update:
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  • 2

    PyDQP

    Distributed QP Solver in Python

    PyDQP implementes 11 different dual decomposition schemes, both first and second order, in order to solve quadratic programs in a distributed fashion.
    Downloads: 0 This Week
    Last Update:
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