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Notes of Algorithms Learning
This repository contains all the solutions of assignments, starter files and other materials related to this specialization.
🧙🏾♂️ Complex Algorithms and Complexity Course from the University of San Diego
Strip Packing Written in C++
Course projects on various NP and NPH problems on CTU in Prague 2021. Knapsack problem with various approaches, analysis of effectivity and robustness. Instances generation and validation. Approximation algorithms (FPTAS) and advanced iterative methods (genetic algorithm, simulated annealing).
Algorithms-Specialization from Stanford:
What I learned from Data Structures and Algorithms Specialization on Coursera.
Foundations of Computer Science
Homeworks done in course CS 599: Algorithms - Design, Analysis, and Implementations at Oregon State University
This repo contains the implementation of an heuristic to solve the Traveling Tournament Problem (TTP), as well as the implementation of the Meta-heuristics' algorithm Iterated Local Search (ILS) satisfying the predefined contraints of the NP-hard problem.
Coursera Data Structures and Algorithms Specialization course 5 --> Advanced Algorithms and Complexity... Code is completed in python only.
Algorithm Analysis and Development
Karp's 21st problem, called the Maximum Cut Problem, implemented into Java
The aim of the course is to provide a solid knowledge on how to design and analyse the most important classes of algorithms.