optimization
Projects with this topic
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Python app that solves Shortest Path problems on real OSM maps.
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Originally written to solve systems of integro-differential equations via collocation method in arbitrary number of variables. The current implementation of the method is based on a finite dimensional orthogonal system of functions.
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Irene is a python package that aims to be a toolkit for global optimisation problems that can be realised algebraically. It generalises Lasserre's Relaxation method to handle theoretically any optimisation problem with bounded feasibility set. The method is based on solutions of generalised truncated moment problem over commutative real algebras.
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This is a personal project demonstrating the application of Test-Driven Development (TDD) for various mathematical models, optimizations, and control systems.
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Unified interface for hyperparams / black box optimizers
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Arcabouço (Framework) de um Algoritmo Genético.
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Projeto com o objetivo de buscar uma solução para o Dilema dos Prisioneiros através de Algoritmo Genético.
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Python project to automatically schedule classes and assign rooms for the Mathecamp Augsburg.
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SciPy extension modules for general purpose steady-state solvers and optimizations for differential state-equations!
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Single-file pure-python Genetic Algorithm python library.
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Minimize the sum of pair distances for a system of particles N-space. This project is to approximate the smallest sum of pair distances among particles, where distances are calculated pairwise and every particle is the only counted once
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This repo contains the code and documentation of the project realized for the Natural Computation course, developed during my Master's Degree course in Computer Engineering.
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This program solves the Evaluation Exercises for the course TÉCNICAS COMPUTACIONALES Y CÁLCULO NUMÉRICO in the EMTCCM.
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A salary modeling tool based on summary statistics that are publicly available in Lithuania.
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Machine Learning Basics - implementation of: loss functions (cross entropy loss, L1 loss, L2 loss, hinge loss), regularizations (L1 regularizer, L2 regularizer, early stopping), gradient check, optimizers, training a simple deep model.
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This project provides optimal control and reinforcement learning implementations to optimize vaccination and testing resource allocation problems on networks.
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