Topic: numerical-optimization Goto Github
Some thing interesting about numerical-optimization
Some thing interesting about numerical-optimization
numerical-optimization,:monocle_face: Matlab Samples :alien: keep updating
User: afei19911012
numerical-optimization,Implementation of various optimization methods
User: amkatrutsa
numerical-optimization,Lectures on optimization methods
User: amkatrutsa
numerical-optimization,A course on Optimization Methods
User: amkatrutsa
numerical-optimization,Numerical optimization in pure Rust
Organization: argmin-rs
Home Page: http://argmin-rs.org
numerical-optimization,Directory of Fortran codes on GitHub, arranged by topic
User: beliavsky
numerical-optimization, Unconstrained function minimization in Javascript
User: benfred
numerical-optimization,A large scale non-linear optimization library
Organization: ceres-solver
Home Page: http://ceres-solver.org/
numerical-optimization,
User: cpfiffer
numerical-optimization,A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
User: cvanaret
numerical-optimization,Splitting Conic Solver
Organization: cvxgrp
numerical-optimization,A Python-embedded modeling language for convex optimization problems.
Organization: cvxpy
Home Page: https://www.cvxpy.org
numerical-optimization,A dual active-set algorithm for convex quadratic programming
User: darnstrom
numerical-optimization,Meta.Numerics is library for advanced numerical computing on the .NET platform. It offers an object-oriented API for statistical analysis, advanced functions, Fourier transforms, numerical integration and optimization, and matrix algebra.
User: dcwuser
Home Page: http://www.meta-numerics.net
numerical-optimization,A C++ interface to formulate and solve linear, quadratic and second order cone problems.
User: embersarc
numerical-optimization,PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [https://pypop.rtfd.io/]
User: evolutionary-intelligence
Home Page: https://pypop.readthedocs.io/
numerical-optimization,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
User: ewenwan
numerical-optimization,High-performance TensorFlow library for quantitative finance.
Organization: google
numerical-optimization,It is a blueprint to data science from the mathematics to algorithms. It is not completed.
User: hulalazz
numerical-optimization,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.
Organization: ipc-sim
Home Page: https://ipc-sim.github.io/
numerical-optimization,Modern Fortran Edition of the SLSQP Optimizer
User: jacobwilliams
numerical-optimization,Proximal algorithms for nonsmooth optimization in Julia
Organization: juliafirstorder
numerical-optimization,Proximal operators for nonsmooth optimization in Julia
Organization: juliafirstorder
numerical-optimization,A Julia interface to the NLopt nonlinear-optimization library
Organization: juliaopt
Home Page: https://nlopt.readthedocs.io/en/latest/
numerical-optimization,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.
Organization: libprima
Home Page: http://libprima.net
numerical-optimization,Efficient optimal control solvers for robotic systems.
User: mayataka
Home Page: https://mayataka.github.io/robotoc/
numerical-optimization,Fatrop is a nonlinear optimal control problem solver that aims to be fast, support a broad class of optimal control problems and achieve a high numerical robustness.
Organization: meco-group
Home Page: https://meco-group.github.io/fatrop/
numerical-optimization,Python library for arbitrary-precision floating-point arithmetic
Organization: mpmath
Home Page: http://mpmath.org
numerical-optimization,NumCosmo main code
Organization: numcosmo
Home Page: http://numcosmo.github.io/
numerical-optimization,Python-based Derivative-Free Optimization with Bound Constraints
Organization: numericalalgorithmsgroup
Home Page: https://numericalalgorithmsgroup.github.io/pybobyqa/
numerical-optimization,Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.
Organization: openocl
Home Page: https://openocl.github.io
numerical-optimization,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.
Organization: opensourceeconomics
Home Page: https://estimagic.readthedocs.io/
numerical-optimization,The Operator Splitting QP Solver
Organization: osqp
Home Page: https://osqp.org
numerical-optimization,Python interface for OSQP
Organization: osqp
Home Page: https://osqp.org/
numerical-optimization,Julia interface for OSQP: The Operator Splitting QP Solver
Organization: osqp
Home Page: https://osqp.org/
numerical-optimization,A free LDL factorisation routine
Organization: osqp
numerical-optimization,Python library for parallel multiobjective simulation optimization
Organization: parmoo
Home Page: https://parmoo.readthedocs.io
numerical-optimization,Autodiff is a numerical library for the Go programming language that supports automatic differentiation. It implements routines for linear algebra (vector/matrix operations), numerical optimization and statistics
User: pbenner
numerical-optimization,Powell's Derivative-Free Optimization solvers.
Organization: pdfo
Home Page: https://www.pdfo.net
numerical-optimization,Hierarchical Optimization Time Integration (HOT) for efficient implicit timestepping of the material point method (MPM)
Organization: penn-graphics-research
numerical-optimization,Probabilistic Inference on Noisy Time Series
Organization: pints-team
Home Page: http://pints.readthedocs.io
numerical-optimization,POT : Python Optimal Transport
Organization: pythonot
Home Page: https://PythonOT.github.io/
numerical-optimization,Quadratic programming solvers in Python with a unified API
Organization: qpsolvers
numerical-optimization,qpSWIFT is a light-weight sparse quadratic programming solver
Organization: qpswift
Home Page: https://qpswift.github.io/
numerical-optimization,The Constrained and Unconstrained Testing Environment with safe threads (CUTEst) for optimization software
Organization: ralna
numerical-optimization,A library of modern Fortran modules for nonlinear optimization
Organization: ralna
Home Page: https://www.galahad.rl.ac.uk
numerical-optimization,RobOptim Core Layer: interface and basic mathematical tools
Organization: roboptim
Home Page: http://www.roboptim.net
numerical-optimization,Collected study materials in Numerical Optimization ANU@MATH3514(HPC)
User: shiqinhuo
numerical-optimization,Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
User: srom
numerical-optimization,Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadratic optimization problems in Julia
User: tkoolen
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