A Python-embedded modeling language for convex optimization problems.
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Updated
Aug 31, 2024 - C++
A Python-embedded modeling language for convex optimization problems.
High-performance TensorFlow library for quantitative finance.
A large scale non-linear optimization library
POT : Python Optimal Transport
The Operator Splitting QP Solver
Numerical optimization in pure Rust
Python library for arbitrary-precision floating-point arithmetic
数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合
Quadratic programming solvers in Python with a unified API
Incremental Potential Contact (IPC) is for robust and accurate time stepping of nonlinear elastodynamics. IPC guarantees intersection- and inversion-free trajectories regardless of materials, time-step sizes, velocities, or deformation severity.
Splitting Conic Solver
Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.
Unconstrained function minimization in Javascript
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
Directory of Fortran codes on GitHub, arranged by topic
Collected study materials in Numerical Optimization ANU@MATH3514(HPC)
A Julia interface to the NLopt nonlinear-optimization library
Efficient optimal control solvers for robotic systems.
optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.
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