A Python-embedded modeling language for convex optimization problems.
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Updated
Apr 28, 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
Python library for arbitrary-precision floating-point arithmetic
Numerical optimization in pure Rust
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
Unconstrained function minimization in Javascript
Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.
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
Package to call the NLopt nonlinear-optimization library from the Julia language
Collected study materials in Numerical Optimization ANU@MATH3514(HPC)
Efficient optimal control solvers for robotic systems.
Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to perform statistical inference on estimated parameters.
Probabilistic Inference on Noisy Time Series
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