Repositório para os códigos da matéria IPRJ 01-07600 - Métodos Numéricos de Otimização

C++ implementation of the Hooke-Jeeves method

Implementations of various numerical optimization methods, written in plain Java.

Methods for derivative-free optimization of continuous functions

A Spring Boot-based application, designed and intended to be run as a microservice, implementing the nonlinear unconstrained minimization algorithm of Hooke and Jeeves.

University work. Matrix decomposition, implementation of various optimization procedures with corresponding result and precision analyses.

Repositório para armazenar o trabalho passado na disciplina de Métodos Numéricos de Otimização

Reimplementation of optimization algorithms.

C++ implementation of the Hooke-Jeeves method

keywords: nonlinear optimization, pattern search, augmented lagrangian, karush-kuhn-tucker, constrained optimization, conjugate gradient methods, quasi newton methods, line search descent methods, onedimensional and multidimensional optimazation

Homework solutions for Computer Aided Analysis and Design ("Analiza i projektiranje računalom") course at FER 2020/21 led by prof. dr. sc. Domagoj Jakobović

Nonlinear optimization algorithms implemented in Python with demo programs

numerical optimization subroutines in Fortran generated by ChatGPT-4

Interactive demo of Hooke_Jeeves and Powell algorithms used for direct-search function optimisation.

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.