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Journal ArticleDOI

A fast algorithm for Steiner trees

L. Kou, +2 more
- 01 Jun 1981 - 
- Vol. 15, Iss: 2, pp 141-145
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TLDR
The heuristic algorithm has a worst case time complexity of O(¦S¦¦V¦2) on a random access computer and it guarantees to output a tree that spans S with total distance on its edges no more than 2(1−1/l) times that of the optimal tree.
Abstract
Given an undirected distance graph G=(V, E, d) and a set S, where V is the set of vertices in G, E is the set of edges in G, d is a distance function which maps E into the set of nonnegative numbers and S?V is a subset of the vertices of V, the Steiner tree problem is to find a tree of G that spans S with minimal total distance on its edges. In this paper, we analyze a heuristic algorithm for the Steiner tree problem. The heuristic algorithm has a worst case time complexity of O(¦S¦¦V¦ 2) on a random access computer and it guarantees to output a tree that spans S with total distance on its edges no more than 2(1?1/l) times that of the optimal tree, where l is the number of leaves in the optimal tree.

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Citations
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Proceedings ArticleDOI

Improved protection scheme for data attack on strategic buses in the Smart Grid

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Proceedings ArticleDOI

Genetic Algorithms for Network Optimization

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Fast Real-Time Scheduling for Ethernet-Based Train Control Networks

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AN ε-CONSTRAINT MULTI-OBJECTIVE OPTIMIZATION MODEL FOR WEB-BASED CONVERGENT PRODUCT NETWORKS USING THE STEINER TREE

TL;DR: The Steiner tree methodology is adapted to a multi-objective model optimized by an augmented e-constraint method to find an optimal tree of functionalities in the network adding value to the product in the web environment.
Journal ArticleDOI

A web-based multi-optimisation approach for convergent product networks using the Steiner tree

TL;DR: A methodology to determine value by adding functionalities for convergent products by adapting the Steiner tree methodology to a bi-objective model for the network to find the optimal tree determining the value adding sub-functions to bases in a convergent product.
References
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Journal ArticleDOI

A note on two problems in connexion with graphs

TL;DR: A tree is a graph with one and only one path between every two nodes, where at least one path exists between any two nodes and the length of each branch is given.
Book ChapterDOI

Reducibility Among Combinatorial Problems

TL;DR: The work of Dantzig, Fulkerson, Hoffman, Edmonds, Lawler and other pioneers on network flows, matching and matroids acquainted me with the elegant and efficient algorithms that were sometimes possible.

Reducibility Among Combinatorial Problems.

TL;DR: Throughout the 1960s I worked on combinatorial optimization problems including logic circuit design with Paul Roth and assembly line balancing and the traveling salesman problem with Mike Held, which made me aware of the importance of distinction between polynomial-time and superpolynomial-time solvability.
Journal ArticleDOI

Algorithm 97: Shortest path

TL;DR: The procedure was originally programmed in FORTRAN for the Control Data 160 desk-size computer and was limited to te t ra t ion because subroutine recursiveness in CONTROL Data 160 FORTRan has been held down to four levels in the interests of economy.
Journal ArticleDOI

Steiner Minimal Trees

TL;DR: A Steiner minimal tree for given points in the plane is a tree which interconnects these points using lines of shortest possible total length as mentioned in this paper, where the length of the shortest possible line is chosen.