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This is a repository for my Diploma Thesis on Wireless Communications at Aristotle University of Thessaloniki
Feature selection package of the mlr3 ecosystem.
Digital Video Processing Graduate Course Homeworks
This project is coding for fun. It will be using heuristic and metaheuristic algorithm to optimize problems. All code will be conducted by c++.
mirror of Open Molecule Generator from https://git.code.sf.net/p/openmg/code
ExhaustiveSearch: A Fast and Scalable Exhaustive Feature Selection Framework
A blackbox statistical optimization approach to find genetic signatures in scRNA-seq data
Parallel and sequential algorithms for finding philogenetic trees using Maximum Parsimony. The scoring algorithm used is Fitch scoring algorithm. Exhaustive search and Branch and Bound search algorithms are implemented in sequential variant. SPMD method is used in parallel implementation.
A greedy, exhaustive search and heuristic solution for a fabric cutting space optimization problem
Solving a cars assembly line NP problem by implementing three algorithmic approaches: an exhaustive search, a greedy algorithm and a metaheuristic. 🚗
Basic to complex prediction model using exhaustive selector & Lasso
This repository contains the answers of all phases of the hardware testability course project in 1402-03 first semester.
Approaching the assembly line problem from an exhaustive, greedy and metaheuristic POV 🎛
Implementing algorithms in C++
Projects in Java and Python from class assignments
UQAC 8INF870 Algorithmic school project - Set Cover Problem (SCP)
MATLAB code implementations for Nonlinear Programming problems, covering methods like KKT conditions, optimization algorithms, genetic algorithms and penalty function approaches.
This repository contains simple implementation of Exhaustive Algorithm and Greedy Algorithm on simple job scheduling.
Finding Relationships in Data: UBC Term Project 2024W2 - Predictive Modelling
This repository contains Python implementations of two optimization algorithms: Branch and Bound and Exhaustive Search. Both algorithms address the same optimization problem, allowing for a direct comparison of their effectiveness.
AA First Assignment - The objective of this project was to find a minimum weighted closure for a given vertex-weighted directed graph G(V, E), with n vertices and m edges. Exhaustive Search and Greedy Algorithms were used to solve this problem, and both approaches were compared in terms of execution time, as well as time complexity.
Implementing algorithms in C++
Introduction to Algorithm Design (PYTHON Language) Algorithms, Complexity Analysis, Decrease and Conquer, Exhaustive Search, Divide and Conquer, Dynamic Programming, Greedy Algorithm
A website for solving combinatorics problems
A tiny library to help in exhaustive testing of Boolean functions in Python.
Optimasi Metode Line-solving dengan Teknik Heuristik Pencarian Pseudo-Exhaustive untuk Menyelesaikan Permainan Nonogram
Exhausting way to solve the "number guessing" game.
Library to enumerate all natural number lists with a target sum.
Library to enumerate all natural number lists with a target sum.
Zig port of exhaustigen library for exhaustive testing.