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2 repositorios

Awesome GitHub RepositoriesMathematical Program Solvers

Software for formulating and solving linear, quadratic, and nonlinear optimization programs.

Distinct from Mathematical Problem Solving Toolkits: Directly relates to solving mathematical programs with custom gradients, not interactive puzzle toolkits.

Explore 2 awesome GitHub repositories matching scientific & mathematical computing · Mathematical Program Solvers. Refine with filters or upvote what's useful.

Awesome Mathematical Program Solvers GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • robotlocomotion/drakeAvatar de RobotLocomotion

    RobotLocomotion/drake

    3,910Ver en GitHub↗

    Drake is a robotics simulation framework and control system modeling tool used for designing, simulating, and verifying the dynamics of complex robotic systems. It functions as a multibody dynamics simulator and a mathematical optimization library, providing a suite of algorithms for trajectory optimization and the simulation of articulated robots. The framework is distinguished by its block-diagram system for composing dynamical subsystems and its ability to formulate and solve diverse mathematical programs, including linear, quadratic, and nonconvex nonlinear problems. It supports specializ

    Formulates and solves linear, quadratic, and nonlinear optimization problems including custom gradient specifications.

    C++drakerobotics
    Ver en GitHub↗3,910
  • dcajasn/riskfolio-libAvatar de dcajasn

    dcajasn/Riskfolio-Lib

    3,784Ver en GitHub↗

    Riskfolio-Lib is a Python portfolio optimization library and convex risk management tool. It provides a framework for calculating optimal asset allocations using convex risk measures and mathematical programming solvers, supporting linear, quadratic, and semidefinite programming. The library features a hierarchical risk parity framework and financial asset clustering tools to group similar instruments and improve diversification. It includes a portfolio backtesting engine for simulating investment strategies using historical data and cross-validation. The system covers a broad range of quant

    Integrates with various mathematical program solvers to execute linear, quadratic, and semidefinite programming.

    C++asset-allocationconvex-optimizationcvar-optimization
    Ver en GitHub↗3,784
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