Discrepancy theory
The contributions in this book focus on a variety of topics related to discrepancy theory, comprising Fourier techniques to analyze discrepancy, low discrepancy point sets for quasi-Monte Carlo integration, probabilistic discrepancy bounds, dispersion of point sets, pair correlation of sequences, in...
| Другие авторы: | , , |
|---|---|
| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
Berlin ; Boston
Walter de Gruyter,
[2020]
|
| Серии: | Radon series on computational and applied mathematics ;
26. |
| Предметы: | |
| Online-ссылка: | EBSCOhost Перейти в каталог НБ ТГУ |
| Итог: | The contributions in this book focus on a variety of topics related to discrepancy theory, comprising Fourier techniques to analyze discrepancy, low discrepancy point sets for quasi-Monte Carlo integration, probabilistic discrepancy bounds, dispersion of point sets, pair correlation of sequences, integer points in convex bodies, discrepancy with respect to geometric shapes other than rectangular boxes, and also open problems in discrepany theory |
|---|---|
| Объем: | 1 online resource \ |
| Библиография: | Includes bibliographical references |
| ISBN: | 9783110652581 3110652587 3110651203 9783110651201 |