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Graph-Theoretic Concepts in Computer Science: 33rd International Workshop, WG 2007, Dornburg, Germany, June 21-23, 2007. Revised Papers

Andreas Brandstädt ; Dieter Kratsch ; Haiko Müller (eds.)

En conferencia: 33º International Workshop on Graph-Theoretic Concepts in Computer Science (WG) . Dornburg, Germany . June 21, 2007 - June 23, 2007

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

Theory of Computation; Simulation and Modeling; Algorithm Analysis and Problem Complexity; Discrete Mathematics in Computer Science; Numeric Computing; Data Structures

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2007 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-540-74838-0

ISBN electrónico

978-3-540-74839-7

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag Berlin Heidelberg 2007

Tabla de contenidos

The Complexity of Bottleneck Labeled Graph Problems

Refael Hassin; Jérôme Monnot; Danny Segev

We present hardness results, approximation heuristics, and exact algorithms for bottleneck labeled optimization problems arising in the context of graph theory. This long-established model partitions the set of edges into classes, each of which is identified by a unique color. The generic objective is to construct a subgraph of prescribed structure (such as that of being an s - t path, a spanning tree, or a perfect matching) while trying to avoid over-picking or under-picking edges from any given color.

Palabras clave: Span Tree; Perfect Match; Multiobjective Optimization Problem; Matroid Intersection; Bisection Width.

Pp. 328-340