Pendekatan Matriks Ketetanggaan Berbobot untuk Solusi Minimum Spanning Tree (MST)
Tri Yani Akhirina, Thomas Afrizal
Abstract
Tri Yani Akhirina, Thomas Afrizal
Abstract
Minimum Spanning Tree (MST) or often called Minimum Weighting Spanning Tree (MWST) is a path or edge search algorithm that connects all vertices in a connected graph and does not form a circuit with a minimum weight. The classic algorithm used to solve MST problems is the P rim ’s and Kruskal’s algorithm s . The problem of minimum spanning tree is a problem related to optimization in finding the minimum weighted edge that can connect all vertices). MST is widely used in computer science such as to determin e access points, build networks and many more. The purpose of this reserarch is to find new solutions that can provide alternative MST solutions besides classical algorithms such as P rim and K ruskal. This experimental research uses a weighted adjacency matrix approach , with weight taken from the minimum side in each pair of matrix to produce a minimum spanning tree . T his new solution can be an alternative in solving the minimum spanning tree problem s .
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Minimum Spanning Tree (MST) or often called Minimum Weighting Spanning Tree (MWST) is a path or edge search algorithm that connects all vertices in a connected graph and does not form a circuit with a minimum weight. The classic algorithm used to solve MST problems is the P rim ’s and Kruskal’s algorithm s . The problem of minimum spanning tree is a problem related to optimization in finding the minimum weighted edge that can connect all vertices). MST is widely used in computer science such as to determin e access points, build networks and many more. The purpose of this reserarch is to find new solutions that can provide alternative MST solutions besides classical algorithms such as P rim and K ruskal. This experimental research uses a weighted adjacency matrix approach , with weight taken from the minimum side in each pair of matrix to produce a minimum spanning tree . T his new solution can be an alternative in solving the minimum spanning tree problem s .
Key concepts: Minimum spanning tree, Distributed minimum spanning tree, Kruskal's algorithm, Spanning tree, k-minimum spanning tree, Reverse-delete algorithm, Prim's algorithm, Euclidean minimum spanning tree