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This book focuses on three disciplines of applied mathematics: control theory, location science and computational geometry. The authors show how methods and tools from convex geometry in a wider sense can help solve various problems from these disciplines. More precisely they consider mainly the tent method (as an application of a generalized separation theory of convex cones) in nonclassical variational calculus, various median problems in Euclidean and other Minkowski spaces (including a detailed discussion of the Fermat-Torricelli problem) and different types of partitionings of topologically complicated polygonal domains into a minimum number of convex pieces. Figures are used extensively throughout the book and there is also a large collection of exercises. Audience: Graduate students, teachers and researchers.
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Subjects
Convex geometry, Control theory, Mathematical optimization, Applied mathematics, Computer Programming, Probability & statistics, Mathematics, Science/Mathematics, Geometry - General, Mathematics / Geometry / General, Mathematics / Linear Programming, Discrete Mathematics, Combinatorial analysis, Electronic data processing, Discrete groups, Optimization, Calculus of Variations and Optimal Control; Optimization, Convex and Discrete Geometry, Numeric ComputingEdition | Availability |
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1
Geometric Methods and Optimization Problems
Jan 09, 2014, Springer
paperback
1461374278 9781461374275
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2
Geometric Methods and Optimization Problems
Oct 04, 2014, Springer
paperback
1461553202 9781461553205
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3 |
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4
Geometric methods and optimization problems
1999, Kluwer Academic Publishers
in English
0792354540 9780792354543
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5
Geometric Methods and Optimization Problems (Combinatorial Optimization)
December 31, 1998, Springer
Hardcover
in English
- 1 edition
0792354540 9780792354543
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