# The Steiner Ratio

Part of the Combinatorial Optimization book series (COOP, volume 10)

Part of the Combinatorial Optimization book series (COOP, volume 10)

Steiner's Problem concerns finding a shortest interconnecting network for a finite set of points in a metric space. A solution must be a tree, which is called a Steiner Minimal Tree (SMT), and may contain vertices different from the points which are to be connected. Steiner's Problem is one of the most famous combinatorial-geometrical problems, but unfortunately it is very difficult in terms of combinatorial structure as well as computational complexity. However, if only a Minimum Spanning Tree (MST) without additional vertices in the interconnecting network is sought, then it is simple to solve. So it is of interest to know what the error is if an MST is constructed instead of an SMT. The worst case for this ratio running over all finite sets is called the Steiner ratio of the space.

The book concentrates on investigating the Steiner ratio. The goal is to determine, or at least estimate, the Steiner ratio for many different metric spaces. The author shows that the description of the Steiner ratio contains many questions from geometry, optimization, and graph theory.

*Audience:* Researchers in network design, applied optimization, and design of algorithms.

The book concentrates on investigating the Steiner ratio. The goal is to determine, or at least estimate, the Steiner ratio for many different metric spaces. The author shows that the description of the Steiner ratio contains many questions from geometry, optimization, and graph theory.

Finite Graph theory addition algorithms complexity geometry network networks optimization sets vertices

- DOI https://doi.org/10.1007/978-1-4757-6798-8
- Copyright Information Springer-Verlag US 2001
- Publisher Name Springer, Boston, MA
- eBook Packages Springer Book Archive
- Print ISBN 978-1-4419-4856-4
- Online ISBN 978-1-4757-6798-8
- Series Print ISSN 1388-3011
- About this book

- Industry Sectors
- Energy, Utilities & Environment