A top down unification of minimum cost spanning tree algorithms

1989 ◽  
Author(s):  
S. M. Merritt
Keyword(s):  
Spanning Tree ◽  
Minimum Cost ◽  
Top Down ◽  
Tree Algorithms

scholarly journals Preconditioning methods based on spanning tree algorithms

2021 ◽  
Vol 1715 ◽  
pp. 012005
Author(s):  
D V Perevozkin ◽  
G A Omarova
Keyword(s):  
Spanning Tree ◽  
Tree Algorithms

A claims problem approach to the cost allocation of a minimum cost spanning tree

2021 ◽  
Author(s):  
José-Manuel Giménez-Gómez ◽  
Josep E. Peris ◽  
Begoña Subiza
Keyword(s):  
Spanning Tree ◽  
Cost Allocation ◽  
Minimum Cost ◽  
Claims Problem ◽  
The Cost

Minimum-cost spanning tree as a path-finding problem

1988 ◽  
Vol 26 (6) ◽  
pp. 291-293 ◽  
Author(s):  
Bruce M. Maggs ◽  
Serge A. Plotkin
Keyword(s):  
Spanning Tree ◽  
Minimum Cost ◽  
Path Finding

scholarly journals FUZZY SHORTEST ROUTE ALGORITHM FOR TELEPHONE LINE CONNECTION USING THE LC-MST ALGORITHM

2015 ◽  
Vol 2 (2) ◽  
pp. 37-39
Author(s):  
Vijayalakshmi D ◽  
Kalaivani R
Keyword(s):  
Transmission Lines ◽  
Spanning Tree ◽  
Minimum Spanning Tree ◽  
Minimum Cost ◽  
Distribution Networks ◽  
Minimum Length ◽  
Fuzzy Graph ◽  
Telephone Line ◽  
Water Pipelines ◽  
Communication Links

In computer science, there are many algorithms that finds a minimum spanning tree for a connected weighted undirected fuzzy graph. The minimum length (or cost) spanning tree problem is one of the nicest and simplest problems in network optimization, and it has a wide variety of applications. The problem is tofind a minimum cost (or length) spanning tree in G. Applications include the design of various types of distribution networks in which the nodes represent cities, centers etc.; and edges represent communication links (fiber glass phone lines, data transmission lines, cable TV lines, etc.), high voltage power transmissionlines, natural gas or crude oil pipelines, water pipelines, highways, etc. The objective is to design a network that connects all the nodes using the minimum length of cable or pipe or other resource in this paper we find the solution to the problem is to minimize the amount of new telephone line connection using matrixalgorithm with fuzzy graph.

scholarly journals On the Core of Cost-Revenue Games: Minimum Cost Spanning Tree Games with Revenues

2012 ◽  
Author(s):  
Arantza Estevez-Fernandez ◽  
Hans Reijnierse
Keyword(s):  
Spanning Tree ◽  
Minimum Cost ◽  
The Core ◽  
Tree Games

scholarly journals Construction of Directed Minimum Cost Spanning Tree using Weight Graph

2015 ◽  
Vol 8 (29) ◽  
Author(s):  
D. Jasmine Priskilla ◽  
K. Arulanandam
Keyword(s):  
Spanning Tree ◽  
Minimum Cost

scholarly journals Algorithms for the power-p Steiner tree problem in the Euclidean plane

2018 ◽  
Vol 25 (4) ◽  
pp. 28
Author(s):  
Christina Burt ◽  
Alysson Costa ◽  
Charl Ras
Keyword(s):  
Spanning Tree ◽  
Minimum Spanning Tree ◽  
Valid Inequalities ◽  
Minimum Cost ◽  
Performance Ratio ◽  
Mixed Integer ◽  
Steiner Tree Problem ◽  
Steiner Points ◽  
Tree Construction ◽  
The Cost

We study the problem of constructing minimum power-$p$ Euclidean $k$-Steiner trees in the plane. The problem is to find a tree of minimum cost spanning a set of given terminals where, as opposed to the minimum spanning tree problem, at most $k$ additional nodes (Steiner points) may be introduced anywhere in the plane. The cost of an edge is its length to the power of $p$ (where $p\geq 1$), and the cost of a network is the sum of all edge costs. We propose two heuristics: a ``beaded" minimum spanning tree heuristic; and a heuristic which alternates between minimum spanning tree construction and a local fixed topology minimisation procedure for locating the Steiner points. We show that the performance ratio $\kappa$ of the beaded-MST heuristic satisfies $\sqrt{3}^{p-1}(1+2^{1-p})\leq \kappa\leq 3(2^{p-1})$. We then provide two mixed-integer nonlinear programming formulations for the problem, and extend several important geometric properties into valid inequalities. Finally, we combine the valid inequalities with warm-starting and preprocessing to obtain computational improvements for the $p=2$ case.

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