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A series of papers provided approximation algorithms for the minimum Steiner tree problem with approximation ratios that improved upon the 2 − 2/t ratio. This sequence culminated with Robins and Zelikovsky's algorithm in 2000 which improved the ratio to 1.55 by iteratively improving upon the minimum cost terminal spanning tree.
The RSMT is an NP-hard problem, and as with other NP-hard problems, common approaches to tackle it are approximate algorithms, heuristic algorithms, and separation of efficiently solvable special cases. An overview of the approaches to the problem may be found in the 1992 book by Hwang, Richards and Winter, The Steiner Tree Problem. [3]
Steiner tree, or Minimum spanning tree for a subset of the vertices of a graph. [2] (The minimum spanning tree for an entire graph is solvable in polynomial time.) Modularity maximization [5] Monochromatic triangle [3]: GT6 Pathwidth, [6] or, equivalently, interval thickness, and vertex separation number [7] Rank coloring; k-Chinese postman
The Steiner ratio is the supremum, over all point sets, of the ratio of lengths of the Euclidean minimum spanning tree to the Steiner minimum tree. Because the Steiner minimum tree is shorter, this ratio is always greater than one. [2] A lower bound on the Steiner ratio is provided by three points at the vertices of an equilateral triangle of ...
In combinatorial optimization, the minimum Wiener connector problem is the problem of finding the minimum Wiener connector. It can be thought of as a version of the classic Steiner tree problem (one of Karp's 21 NP-complete problems), where instead of minimizing the size of the tree, the objective is to minimize the distances in the subgraph ...
If the input points alone are used as endpoints of the network edges, then the shortest network is their minimum spanning tree. However, shorter networks can often be obtained by adding Steiner points, and using both the new points and the input points as edge endpoints. [1] Another problem that uses Steiner points is Steiner triangulation. The ...
Ding-Zhu Du (born May 21, 1948) is a Professor in the Department of Computer Science at The University of Texas at Dallas. [1] He is known for his research on the Euclidean minimum Steiner trees, [2] including an attempted proof of Gilbert–Pollak conjecture on the Steiner ratio, and the existence of a polynomial-time heuristic with a performance ratio bigger than the Steiner ratio.
He is known for an approximation algorithm for the minimum Steiner tree problem with an approximation ratio 1.55, [1] widely cited by his peers [2] and also widely held in libraries. [ 3 ] References