
Partitions: Optimality And Clustering - Volume I: Single-parameter
OPTIMALITY & CLUSTERING (V19)
World Scientific Publishing Co Pte Ltd
Published on 12. December 2011
Book
Hardback
364 pages
978-981-270-812-0 (ISBN)
Description
The need of optimal partition arises from many real-world problems involving the distribution of limited resources to many users. The "clustering" problem, which has recently received a lot of attention, is a special case of optimal partitioning. This book is the first attempt to collect all theoretical developments of optimal partitions, many of them derived by the authors, in an accessible place for easy reference. Much more than simply collecting the results, the book provides a general framework to unify these results and present them in an organized fashion.Many well-known practical problems of optimal partitions are dealt with. The authors show how they can be solved using the theory - or why they cannot be. These problems include: allocation of components to maximize system reliability; experiment design to identify defectives; design of circuit card library and of blood analyzer lines; abstraction of finite state machines and assignment of cache items to pages; the division of property and partition bargaining as well as touching on those well-known research areas such as scheduling, inventory, nearest neighbor assignment, the traveling salesman problem, vehicle routing, and graph partitions. The authors elucidate why the last three problems cannot be solved in the context of the theory.
More details
Series
Edition
Single-Parameter ed.
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Researchers and practitioners in computer science, operations research, applied mathematics and industrial engineering.
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 24 mm
Weight
678 gr
ISBN-13
978-981-270-812-0 (9789812708120)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Content
Formulation and Examples; Sum-Partition Problems over Single Parameter Spaces: Explicit Solutions; Extreme Points and Optimization; Permutation Polytopes; Sum-Partition Problems over Single Parameter Spaces: Polyhedral Approach; Partitions over Single Parameter Spaces: Combinatorial Analysis; Partition Problems over Single Parameter Spaces: Combinatorial Approach; Sum-Multipartition Problems over Single Parameter Spaces; Sum-Partition Problems over Multi-Parameter Spaces: Polyhedral Approach; Partition Problems over Multi-Parameter Spaces: Combinatorial Approach; Applications; Partition Bargaining Games/Maximizing Concave Functions over Partition Polytopes.