Convex Cones Geometry and Probability

This book provides the foundations for geometric applications of convex cones and presents selected examples from a wide range of topics, including polytope theory, stochastic geometry, and Brunn–Minkowski theory. Giving an introduction to convex cones, it describes their most important geometric fu...

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Bibliographic Details
Main Author: Schneider, Rolf
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Lecture Notes in Mathematics
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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505 0 |a Basic notions and facts -- Angle functions -- Relations to spherical geometry -- Steiner and kinematic formulas -- Central hyperplane arrangements and induced cones -- Miscellanea on random cones -- Convex hypersurfaces adapted to cones 
653 |a Convex geometry  
653 |a Probability Theory 
653 |a Geometry 
653 |a Convex and Discrete Geometry 
653 |a Discrete geometry 
653 |a Probabilities 
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520 |a This book provides the foundations for geometric applications of convex cones and presents selected examples from a wide range of topics, including polytope theory, stochastic geometry, and Brunn–Minkowski theory. Giving an introduction to convex cones, it describes their most important geometric functionals, such as conic intrinsic volumes and Grassmann angles, and develops general versions of the relevant formulas, namely the Steiner formula and kinematic formula. In recent years questions related to convex cones have arisen in applied mathematics, involving, for example, properties of random cones and their non-trivial intersections. The prerequisites for this work, such as integral geometric formulas and results on conic intrinsic volumes, were previously scattered throughout the literature, but no coherent presentation was available. The present book closes this gap. It includes several pearls from the theory of convex cones, which should be better known.