Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
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Updated
Aug 22, 2024 - Python
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
MATLAB sample codes for mobile robot navigation
Multilanguage (C#/Matlab/Rust) library for solving navigation (2D/3D) & geodetic problems: Multilateration (true range), Time-Of-Arrival (TOA), Time-Difference-Of-Arrival (TDOA), Angle-Of-Arrival AOA (Direction-Of-Arrival, DOA); Direct & inverse geodetic problems: Vincenty equations, Haversine formula; Virtual Long Baseline navigation (VLBL) etc.
Optimising chemical reactions using machine learning
LibOptimization is numerical optimization algorithm library for .NET Framework. / .NET用の数値計算、最適化ライブラリ
Python implementation of some numerical (optimization) methods
A library that provides routines to compute the solutions to systems of nonlinear equations.
General Purpose Optimization in R using C++: provides a unified C++ wrapper to call functions of the algorithms underlying the optim() solver
A Python easy implementation of the Nelder-Mead method
Common Lisp implementation of (grid restrained) Nelder-Mead
A Python package for constrained Nelder-Mead optimization.
Globalized Nelder-Mead method, implemented for MATLAB (compatible with GNU Octave)
Fitting tool for "Linearly Transformed Cosines" parameters, useful for implementing area lights.
numerical optimization subroutines in Fortran generated by ChatGPT-4
Supply Chain Reinforcement Learning
Implementation of the simplest and at the same time effective optimization method — the Nelder—Mead method
SABR NelderMead volatility
A multidimensional discrete hill climbing heuristic search algorithm implemented in Python
SwiftHBV is a HBV hydrological model package for Swift. Calibration with the Nelder–Mead method.
Application for 3D function optimization
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