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Geometric Methods and Optimization Problems: Combinatorial Optimization, cartea 4

Autor Vladimir Boltyanski, Horst Martini, V. Soltan
en Limba Engleză Hardback – 31 dec 1998
VII Preface In many fields of mathematics, geometry has established itself as a fruitful method and common language for describing basic phenomena and problems as well as suggesting ways of solutions. Especially in pure mathematics this is ob­ vious and well-known (examples are the much discussed interplay between lin­ ear algebra and analytical geometry and several problems in multidimensional analysis). On the other hand, many specialists from applied mathematics seem to prefer more formal analytical and numerical methods and representations. Nevertheless, very often the internal development of disciplines from applied mathematics led to geometric models, and occasionally breakthroughs were b~ed on geometric insights. An excellent example is the Klee-Minty cube, solving a problem of linear programming by transforming it into a geomet­ ric problem. Also the development of convex programming in recent decades demonstrated the power of methods that evolved within the field of convex geometry. The present book focuses on three applied disciplines: control theory, location science and computational geometry. It is our aim to demonstrate how methods and topics from convex geometry in a wider sense (separation theory of convex cones, Minkowski geometry, convex partitionings, etc.) can help to solve various problems from these disciplines.
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Specificații

ISBN-13: 9780792354543
ISBN-10: 0792354540
Pagini: 432
Ilustrații: VIII, 432 p.
Dimensiuni: 156 x 234 x 25 mm
Greutate: 0.79 kg
Ediția:1999
Editura: Springer Us
Colecția Springer
Seria Combinatorial Optimization

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

I. Nonclassical Variational Calculus. II. Median Problems in Location Science. III. Minimum Convex Partitions of Polygonal Domains.