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Handbook of Combinatorial Optimization : Supplement Volume B / edited by Ding-Zhu Du, Panos M. Pardalos.

Por: Colaborador(es): Tipo de material: TextoTextoEditor: Boston, MA : Springer US, 2005Descripción: VII, 394 páginas, recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9780387238302
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • QA402-402.37
Recursos en línea:
Contenidos:
Data Correcting Algorithms in Combinatorial Optimization -- The Steiner Ratio of Banach-Minkowski spaces - A Survey -- Probabilistic Verification and Non-Approximability -- Steiner Trees in Industry -- Network-based Models and Algorithms in Data Mining and Knowledge Discovery -- The Generalized Assignment Problem and Extensions -- Optimal Rectangular Partitions -- Connected Dominating Set in Sensor Networks and MANETs.
Resumen: This is a supplementary volume to the major three-volume Handbook of Combinatorial Optimization set, as well as the Supplement Volume A. It can also be regarded as a stand-alone volume which presents chapters dealing with various aspects of the subject, including optimization problems and algorithmic approaches for discrete problems. Audience This handbook is suitable for all those who use combinatorial optimization methods to model and solve problems.
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Springer eBooks

Data Correcting Algorithms in Combinatorial Optimization -- The Steiner Ratio of Banach-Minkowski spaces - A Survey -- Probabilistic Verification and Non-Approximability -- Steiner Trees in Industry -- Network-based Models and Algorithms in Data Mining and Knowledge Discovery -- The Generalized Assignment Problem and Extensions -- Optimal Rectangular Partitions -- Connected Dominating Set in Sensor Networks and MANETs.

This is a supplementary volume to the major three-volume Handbook of Combinatorial Optimization set, as well as the Supplement Volume A. It can also be regarded as a stand-alone volume which presents chapters dealing with various aspects of the subject, including optimization problems and algorithmic approaches for discrete problems. Audience This handbook is suitable for all those who use combinatorial optimization methods to model and solve problems.

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