Material for standard text book model of batch cultivation where model is calibrated using time series data for substrate and cell concentration. Updated.
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Updated
May 25, 2024 - Jupyter Notebook
Material for standard text book model of batch cultivation where model is calibrated using time series data for substrate and cell concentration. Updated.
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Optimising chemical reactions using machine learning
Methods for derivative-free optimization of continuous functions
Derivative-Free Global Optimization Method (C++, Python binding)
A library that provides routines to compute the solutions to systems of nonlinear equations.
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.
Implementation of the simplest and at the same time effective optimization method — the Nelder—Mead method
numerical optimization subroutines in Fortran generated by ChatGPT-4
Nelder-Mead Method for nonlinear optimization
LibOptimization is numerical optimization algorithm library for .NET Framework. / .NET用の数値計算、最適化ライブラリ
Native Java implementation of the Nelder-Mead direct search optimization method.
General Purpose Optimization in R using C++: provides a unified C++ wrapper to call functions of the algorithms underlying the optim() solver
Supply Chain Reinforcement Learning
Art of finding minimum. Python implementations from scratch.
Epidemics (2020)
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