optimization-techniques

A growing archive of my coding journey - notes, insights, bug battles, and learning in progress. Try debugging any of it ... if you can.

in-depth analysis and comparison of eight leading in-memory subgraph matching algorithms, QuickSI, GraphQL, CFL, CECI, DP-iso, RI, and VF2++.

This project contains a sample ASP.NET Core app. This app is an example of the article I produced for the Telerik Blog (telerik.com/blogs)

Projeto de pesquisa (Mestrado EPQB) sobre um agente de Reinforcement Learning supervisório para otimização do ponto operacional de uma coluna stripper de águas ácidas (H₂S/NH₃)

All codes related to Optimization Techniques using Matlab

An intelligent companion for astrophotographers to plan their imaging sessions based on location, equipment, and celestial conditions.

This repository contains an implementation of the Traveling Salesman Problem (TSP) solver using C++. The TSP is a classic algorithmic problem in the fields of computer science and operations research. The goal is to find the shortest possible route that visits a set of cities and returns to the origin city, visiting each city exactly once.

Apple App Store Assignment - 2

Diese Desktop-Software simuliert einen elektrischen Wechselrichterantrieb und nutzt eine Mehrzieloptimierungstechnik (This desktop software simulates electrical inverter drive and utilizes multi-objective optimization technique)

Lösung zur Grundwasserüberwachung mittels Ameisenkolonieoptimierung (Solution for groundwater monitoring using ant colony optimization)

Python implementations of Operations Research and Mathematical Optimization techniques including Linear Programming, Integer Programming, Assignment Problems, Nonlinear Programming, and Multi-Objective Optimization.

Using Bayesian optimization to design an optimal urban drainage network

A Mathematics for Data Science assignment-cum-term-project that formulates satellite DEM elevation error correction as a single convex least-squares optimization problem, solved five independent mathematical ways — Normal Equations, SVD, PCA Regression, Gradient Descent, and Newton's Method — all implemented in raw NumPy with no ML libraries.

Neural Style Transfer as an optimization technique

Hydraulic parameter estimation using ant colony optimization

Implementation of three optimization techniques

This project focuses on using sensor data to predict human activity and is based on the ExtraSensory dataset, created by Ph.D. students and staff at the Department of Electrical and Computer Engineering, University of California, San Diego.

Optimal damper placement in automotive mechanical suspension implemented using Bayesian Optimization (BO) and written in Java

This repository contains Python implementations of the Simulated Annealing optimization algorithm. It includes two Colab notebooks — one that evaluates Simulated Annealing across 55 benchmark functions and another that focuses on a single test function (Ackley) — along with sample result files and documentation.