High-performance TensorFlow library for quantitative finance.
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Updated
Dec 13, 2022 - Python
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
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
Mathematical optimization in pure Rust
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.
Unconstrained function minimization in Javascript
Quadratic programming solvers in Python with a unified API
Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.
Package to call the NLopt nonlinear-optimization library from the Julia language
Probabilistic Inference on Noisy Time Series
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.
Collected study materials in Numerical Optimization ANU@MATH3514(HPC)
A course on Optimization Methods
A C++ interface to formulate and solve linear, quadratic and second order cone problems.
Proximal operators for nonsmooth optimization in Julia
Proximal algorithms for nonsmooth optimization in Julia
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