A library of modern Fortran modules for nonlinear optimization

Trust Region Optimization in Python

Trust region methods for nonlinear systems of equations in Julia.

Official implementation of the ICLR 2021 paper "Differentiable Trust Region Layers for Deep Reinforcement Learning"

Optimizing Relative Radiometric Normalization: Minimizing Residual Distortions in Multispectral Bitemporal Images Using Trust-Region Reflective and Laplacian Pyramid Fusion

Source code for Gaussian process modifier adaptation (GP-MA)

Solver for Blackbox Multiobjective Optimization Problems

Rapid Optimization Library

Some numerical optimization method in Python

Convex, Nonsmooth, Nonlinear Optimization Solver and Problems

This repository is part of a Master's degree thesis project in the Chemical Engineering Department of Politecnico di Milano and written by Hikmet Batuhan Oztemel. This project focuses on applying Trust Region Filter (TRF) methods in surrogate-based optimization (SBO) for chemical process optimization in methanol synthesis plant with Aspen Plus.

Course assignments for CL 663: IIT Bombay

Trust-Region Filter (TRF) solver is developed using the concepts from nonlinear optimisation, derivative-free optimisation and surrogate modelling, and is used to optimise grey box optimisation problems (a combination of glass box mathematical models with available derivative information and the black box models without derivative information).