Fr. 188.00

Geometric Methods and Optimization Problems

Englisch · Taschenbuch

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Beschreibung

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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.

Inhaltsverzeichnis

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

Zusammenfassung

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.

Produktdetails

Autoren Vladimi Boltyanski, Vladimir Boltyanski, Hors Martini, Horst Martini, V Soltan, V. Soltan
Verlag Springer, Berlin
 
Sprache Englisch
Produktform Taschenbuch
Erschienen 22.04.2014
 
EAN 9781461374275
ISBN 978-1-4613-7427-5
Seiten 432
Abmessung 155 mm x 24 mm x 235 mm
Gewicht 676 g
Illustration VIII, 432 p.
Serien Combinatorial Optimization
Combinatorial Optimization
Thema Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Sonstiges

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