Geometrical probability (93 résultats)

Etat : New.

Paperback or Softback. Etat : New. On Central Limit Theorems in Geometrical Probability. Book.

Etat : As New. Unread book in perfect condition.

Etat : New.

Paperback. Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Broschiert. Etat : Gut. XII, 338 Seiten : Ill., graph. Darst. Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.); leichte altersbedingte Anbräunung des Papiers; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 580.…

Etat : New.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Softcover. Etat : Gut. Ex-library with stamp and library-signature. GOOD condition, some traces of use. C-03064 3540164871 Sprache: Englisch Gewicht in Gramm: 550.

Etat : Poor. Volume 10. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In poor condition, suitable as a reading copy. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,250grams, ISBN.…

Etat : Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Re-bound by library. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,300grams, ISBN.…

Etat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Re-bound by library. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,300grams, ISBN.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : New. Print on Demand. This book presents a significant development in geometrical probability, proving central limit theorems for three fundamental constructions in computational geometry: the k-nearest graph, the Voronoi diagram, and the Delaunay triangulation. Within this field, the author provides a novel approach using dependency graphs to capture local dependence in these problems. The book establishes that, given a Poisson point process with parameter n, the lengths of these graphs satisfy central limit theorems as n approaches infinity. These results provide a theoretical framework for understanding the asymptotic behavior of these graphs and have implications for designing more efficient algorithms for solving related problems. Additionally, the author explores the relationship between these central limit theorems and efficient algorithms for these problems, demonstrating the potential for faster sequential and parallel algorithms. Overall, this book offers a valuable contribution to geometrical probability and computational geometry, providing new insights into the asymptotic behavior of important combinatorial structures and paving the way for advancements in algorithmic design. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. …

Taschenbuch. Etat : Neu. Neuware - This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.This work is in the 'public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.…