Here is the first modern introduction to geometric probability, also known as integral geometry, presented at an elementary level, requiring little more than first-year graduate mathemati… Mehr…
Here is the first modern introduction to geometric probability, also known as integral geometry, presented at an elementary level, requiring little more than first-year graduate mathematics. Klein and Rota present the theory of intrinsic volumes due to Hadwiger, McMullen, Santaló and others, along with a complete and elementary proof of Hadwiger''s characterization theorem of invariant measures in Euclidean n-space. They develop the theory of the Euler characteristic from an integral-geometric point of view. The authors then prove the fundamental theorem of integral geometry, namely, the kinematic formula. Finally, the analogies between invariant measures on polyconvex sets and measures on order ideals of finite partially ordered sets are investigated. The relationship between convex geometry and enumerative combinatorics motivates much of the presentation. Every chapter concludes with a list of unsolved problems. | Introduction To Geometric Probability by Daniel A. Klain Hardcover | Indigo Chapters Books > Science & Nature > Math & Physics > Mathematics > Geometry & Topology P10117, Daniel A. Klain<
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Here is the first modern introduction to geometric probability, also known as integral geometry, presented at an elementary level, requiring little more than first-year graduate mathemati… Mehr…
Here is the first modern introduction to geometric probability, also known as integral geometry, presented at an elementary level, requiring little more than first-year graduate mathematics. Klein and Rota present the theory of intrinsic volumes due to Hadwiger, McMullen, Santaló and others, along with a complete and elementary proof of Hadwiger''s characterization theorem of invariant measures in Euclidean n-space. They develop the theory of the Euler characteristic from an integral-geometric point of view. The authors then prove the fundamental theorem of integral geometry, namely, the kinematic formula. Finally, the analogies between invariant measures on polyconvex sets and measures on order ideals of finite partially ordered sets are investigated. The relationship between convex geometry and enumerative combinatorics motivates much of the presentation. Every chapter concludes with a list of unsolved problems. | Introduction To Geometric Probability by Daniel A. Klain Hardcover | Indigo Chapters Books > Science & Nature > Math & Physics > Mathematics > Geometry & Topology P10117, Daniel A. Klain<
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Here is the first modern introduction to geometric probability, also known as integral geometry, presented at an elementary level, requiring little more than first-year graduate mathemati… Mehr…
Here is the first modern introduction to geometric probability, also known as integral geometry, presented at an elementary level, requiring little more than first-year graduate mathematics. Klein and Rota present the theory of intrinsic volumes due to Hadwiger, McMullen, Santaló and others, along with a complete and elementary proof of Hadwiger's characterization theorem of invariant measures in Euclidean n-space. They develop the theory of the Euler characteristic from an integral-geometric point of view. The authors then prove the fundamental theorem of integral geometry, namely, the kinematic formula. Finally, the analogies between invariant measures on polyconvex sets and measures on order ideals of finite partially ordered sets are investigated. The relationship between convex geometry and enumerative combinatorics motivates much of the presentation. Every chapter concludes with a list of unsolved problems. New Textbooks>Hardcover>Science>Mathematics>Mathematics, Cambridge University Press Core >2 >T<
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Hardback, [PU: Cambridge University Press], The basic ideas of geometrical probability and the theory of shape are here presented in their natural framework. In this way, the relationship… Mehr…
Hardback, [PU: Cambridge University Press], The basic ideas of geometrical probability and the theory of shape are here presented in their natural framework. In this way, the relationship between the subject and enumerative combinatorics is more transparent, and the analogies can be more productively understood. Geometers and combinatorialists will find this a most stimulating and fruitful story., Probability & Statistics<
Here is the first modern introduction to geometric probability, also known as integral geometry, presented at an elementary level, requiring little more than first-year graduate mathemati… Mehr…
Here is the first modern introduction to geometric probability, also known as integral geometry, presented at an elementary level, requiring little more than first-year graduate mathematics. Klein and Rota present the theory of intrinsic volumes due to Hadwiger, McMullen, Santaló and others, along with a complete and elementary proof of Hadwiger''s characterization theorem of invariant measures in Euclidean n-space. They develop the theory of the Euler characteristic from an integral-geometric point of view. The authors then prove the fundamental theorem of integral geometry, namely, the kinematic formula. Finally, the analogies between invariant measures on polyconvex sets and measures on order ideals of finite partially ordered sets are investigated. The relationship between convex geometry and enumerative combinatorics motivates much of the presentation. Every chapter concludes with a list of unsolved problems. | Introduction To Geometric Probability by Daniel A. Klain Hardcover | Indigo Chapters Books > Science & Nature > Math & Physics > Mathematics > Geometry & Topology P10117, Daniel A. Klain<
Here is the first modern introduction to geometric probability, also known as integral geometry, presented at an elementary level, requiring little more than first-year graduate mathemati… Mehr…
Here is the first modern introduction to geometric probability, also known as integral geometry, presented at an elementary level, requiring little more than first-year graduate mathematics. Klein and Rota present the theory of intrinsic volumes due to Hadwiger, McMullen, Santaló and others, along with a complete and elementary proof of Hadwiger''s characterization theorem of invariant measures in Euclidean n-space. They develop the theory of the Euler characteristic from an integral-geometric point of view. The authors then prove the fundamental theorem of integral geometry, namely, the kinematic formula. Finally, the analogies between invariant measures on polyconvex sets and measures on order ideals of finite partially ordered sets are investigated. The relationship between convex geometry and enumerative combinatorics motivates much of the presentation. Every chapter concludes with a list of unsolved problems. | Introduction To Geometric Probability by Daniel A. Klain Hardcover | Indigo Chapters Books > Science & Nature > Math & Physics > Mathematics > Geometry & Topology P10117, Daniel A. Klain<
Here is the first modern introduction to geometric probability, also known as integral geometry, presented at an elementary level, requiring little more than first-year graduate mathemati… Mehr…
Here is the first modern introduction to geometric probability, also known as integral geometry, presented at an elementary level, requiring little more than first-year graduate mathematics. Klein and Rota present the theory of intrinsic volumes due to Hadwiger, McMullen, Santaló and others, along with a complete and elementary proof of Hadwiger's characterization theorem of invariant measures in Euclidean n-space. They develop the theory of the Euler characteristic from an integral-geometric point of view. The authors then prove the fundamental theorem of integral geometry, namely, the kinematic formula. Finally, the analogies between invariant measures on polyconvex sets and measures on order ideals of finite partially ordered sets are investigated. The relationship between convex geometry and enumerative combinatorics motivates much of the presentation. Every chapter concludes with a list of unsolved problems. New Textbooks>Hardcover>Science>Mathematics>Mathematics, Cambridge University Press Core >2 >T<
Hardback, [PU: Cambridge University Press], The basic ideas of geometrical probability and the theory of shape are here presented in their natural framework. In this way, the relationship… Mehr…
Hardback, [PU: Cambridge University Press], The basic ideas of geometrical probability and the theory of shape are here presented in their natural framework. In this way, the relationship between the subject and enumerative combinatorics is more transparent, and the analogies can be more productively understood. Geometers and combinatorialists will find this a most stimulating and fruitful story., Probability & Statistics<
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The basic ideas of the subject and the analogues with enumerative combinatorics are described and exploited.
Detailangaben zum Buch - Introduction to Geometric Probability Daniel A. Klain Author
EAN (ISBN-13): 9780521593625 ISBN (ISBN-10): 052159362X Gebundene Ausgabe Erscheinungsjahr: 1997 Herausgeber: Cambridge University Press Core >2 >T 196 Seiten Gewicht: 0,395 kg Sprache: eng/Englisch
Buch in der Datenbank seit 2008-06-16T16:15:43+02:00 (Berlin) Detailseite zuletzt geändert am 2024-02-29T17:03:40+01:00 (Berlin) ISBN/EAN: 052159362X
ISBN - alternative Schreibweisen: 0-521-59362-X, 978-0-521-59362-5 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: gian carlo rota, mcmullen, euler, hadwiger Titel des Buches: introduction geometric probability
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