A manifold-based approach to solve systems of equations
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Updated
Nov 18, 2019 - Python
A manifold-based approach to solve systems of equations
Generator of test functions for global optimization
Global Optmization with Gradients: Python implementation of an experimental non-local Newton method
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
Implementation of the Hybrid Patch Decomposition Algorithm - a solver for multi-objective mixed-integer convex optimization problems
Modified Cutting angle method based on 'Cutting angle method - a tool for constrained global optimization'
An advanced persona-driven role-playing system with global faithfulness quantification and optimization. In memory of the Koishi's Day of 2024.
Algorithm of selective averaging of coordinates (SAC)
Art of finding minimum. Python implementations from scratch.
Adaptive memory programming for Global Optimization
A deterministic global optimization algorithm for black-box problems.
over-parameterization = exploration ?
Python-based library for easy force-field fitting. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S235271102100008X
Python GOSOLNP implementation based on pysolnp. This algorithm solves Global Optimization problems with optional equality and/or inequality constraints.
Novel global optimization meta-heuristic based on the dynamics of the process of opinion formation.
Application of Optimization and Heuristic methods called Particle Swarm Optimization with Machine Learning
Library for global optimization of multiextremal nondifferentiable functions.
Application for global optimization of multiextremal nondifferentiable functions.
A flexible Particle Swarm Optimization (PSO) framework utilizing multiple inheritance in Python
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