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AuthorCieslik, Dietmar. author
TitleSteiner Minimal Trees [electronic resource] / by Dietmar Cieslik
ImprintBoston, MA : Springer US : Imprint: Springer, 1998
Connect tohttp://dx.doi.org/10.1007/978-1-4757-6585-4
Descript XII, 322 p. online resource

SUMMARY

The problem of "Shortest Connectivity", which is discussed here, has a long and convoluted history. Many scientists from many fields as well as laymen have stepped on its stage. Usually, the problem is known as Steiner's Problem and it can be described more precisely in the following way: Given a finite set of points in a metric space, search for a network that connects these points with the shortest possible length. This shortest network must be a tree and is called a Steiner Minimal Tree (SMT). It may contain vertices different from the points which are to be connected. Such points are called Steiner points. Steiner's Problem seems disarmingly simple, but it is rich with possibilities and difficulties, even in the simplest case, the Euclidean plane. This is one of the reasons that an enormous volume of literature has been published, starting in 1 the seventeenth century and continuing until today. The difficulty is that we look for the shortest network overall. Minimum spanยญ ning networks have been well-studied and solved eompletely in the case where only the given points must be connected. The novelty of Steiner's Problem is that new points, the Steiner points, may be introduced so that an interconยญ necting network of all these points will be shorter. This also shows that it is impossible to solve the problem with combinatorial and geometric methods alone


CONTENT

1 Introduction -- 2 SMT and MST in Metric Spaces โ{128}{148} A Survey -- 3 Fermatโ{128}{153}s Problem in Banach-Minkowski Spaces -- 4 The Degrees of the Vertices in Shortest Trees -- 5 1-Steiner-Minimal-Trees -- 6 Methods to Construct Shortest Trees -- 7 The Steiner Ratio of Banach-Minkowski Spaces -- 8 Generalizations -- References


Computer science Computer science -- Mathematics Convex geometry Discrete geometry Mathematical optimization Computer Science Discrete Mathematics in Computer Science Optimization Convex and Discrete Geometry



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