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This project was undertaken as part of our Algorithms course. The primary objective of this project is to implement and analyze Kruskal's algorithm for finding the Minimum Spanning Tree (MST) in a graph. The project also explores connected components within a graph, providing a comprehensive toolkit for graph analysis.
Implement the kruskal's algorithms to solve the problem of finding minimum spanning tree. Assume that there are n nodes in the graph and that they have associated costs. Analyze the complexity of the algorithm and calculate the optimal path and its cost value.
Here you may find my solutions to the two problems adapted from the coding challenge by the White Space Solutions. The solutions feature MST algorithm for graphs and constraint programming using the cp_sat solver.
Implementazione degli algoritmi per il calcolo del Minimum Spanning Tree: Kruskal e Prim, e valutazione delle diverse applicazioni dei due algoritmi nei diversi casi di applicazione (matrice adiacenza sparsa o densa)
📍첫 알고리즘 문제 출제 "고양이 방석"📍My First Algorithm Problem! You can practice String and MST algorithm by solving this problem. The sample answer code is written by Python language.