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Geometric methods and optimization problemsGeometric methods and optimization problems

Geometric methods and optimization problems1999

V. Soltan, V. Boltyanski, H. Martini, V. G. Bolti͡anskiĭ

About this book

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.

Details

First published
1999
OL Work ID
OL1981412W

Subjects

Convex geometryControl theoryMathematical optimizationApplied mathematicsComputer ProgrammingProbability & statisticsMathematicsScience/MathematicsGeometry - GeneralMathematics / Geometry / GeneralMathematics / Linear ProgrammingDiscrete MathematicsCombinatorial analysisElectronic data processingDiscrete groupsOptimizationCalculus of Variations and Optimal Control; OptimizationConvex and Discrete Geometry

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Book data from Open Library. Cover images courtesy of Open Library.