Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
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Updated
Dec 5, 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.
Supply Chain Reinforcement Learning
numerical optimization subroutines in Fortran generated by ChatGPT-4
SwiftHBV is a HBV hydrological model package for Swift. Calibration with the Nelder–Mead method.
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
Classification of Alan Miller's Fortran codes for statistics and numerical methods
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