What I learned from Data Structures and Algorithms Specialization on Coursera.
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Updated
Oct 25, 2020 - C++
What I learned from Data Structures and Algorithms Specialization on Coursera.
Non-Deterministic Objects library (CombView API)
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.
The aim of the course is to provide a solid knowledge on how to design and analyse the most important classes of algorithms.
Presents a reduction from 3DM to Nonogram
Algorithm Analysis and Development
Записките ми за упражнения по "Дизайн и анализ на алгоритми"
Foundations of Computer Science
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).
Karp's 21st problem, called the Maximum Cut Problem, implemented into Java
An implementation of an A* Informed Search Algorithm for solving the N-Puzzle problem, using several heuristic functions, written in C
Coursera Data Structures and Algorithms Specialization course 5 --> Advanced Algorithms and Complexity... Code is completed in python only.
Strip Packing Written in C++
🧙🏾♂️ Complex Algorithms and Complexity Course from the University of San Diego
Algorithms-Specialization from Stanford:
Homeworks done in course CS 599: Algorithms - Design, Analysis, and Implementations at Oregon State University
Notes of Algorithms Learning
This repository contains all the solutions of assignments, starter files and other materials related to this specialization.
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