Discrepancy Theory
Download and Read Discrepancy Theory full books in PDF, ePUB, and Kindle. Read online free Discrepancy Theory ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Geometric Discrepancy
| Author | : Jiri Matousek |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 293 |
| Release | : 2009-12-02 |
| Genre | : Mathematics |
| ISBN | : 3642039421 |
Download Geometric Discrepancy Book in PDF, Epub and Kindle
What is the "most uniform" way of distributing n points in the unit square? How big is the "irregularity" necessarily present in any such distribution? This book is an accessible and lively introduction to the area of geometric discrepancy theory, with numerous exercises and illustrations. In separate, more specialized parts, it also provides a comprehensive guide to recent research.
Geometric Discrepancy Related Books
Language: en
Pages: 293
Pages: 293
Type: BOOK - Published: 2009-12-02 - Publisher: Springer Science & Business Media
What is the "most uniform" way of distributing n points in the unit square? How big is the "irregularity" necessarily present in any such distribution? This boo
Language: en
Pages: 303
Pages: 303
Type: BOOK - Published: 2020-01-20 - Publisher: Walter de Gruyter GmbH & Co KG
The contributions in this book focus on a variety of topics related to discrepancy theory, comprising Fourier techniques to analyze discrepancy, low discrepancy
Language: en
Pages: 708
Pages: 708
Type: BOOK - Published: 2014-10-07 - Publisher: Springer
This is the first work on Discrepancy Theory to show the present variety of points of view and applications covering the areas Classical and Geometric Discrepan
Language: en
Pages: 225
Pages: 225
Type: BOOK - Published: 2020-01-20 - Publisher: Walter de Gruyter GmbH & Co KG
The contributions in this book focus on a variety of topics related to discrepancy theory, comprising Fourier techniques to analyze discrepancy, low discrepancy
Language: en
Pages: 619
Pages: 619
Type: BOOK - Published: 2010-09-09 - Publisher: Cambridge University Press
Indispensable for students, invaluable for researchers, this comprehensive treatment of contemporary quasi–Monte Carlo methods, digital nets and sequences, an
