An Introduction to Bayesian Scientific Computing
| Author | : Daniela Calvetti |
| Publisher | : Springer |
| Total Pages | : 202 |
| Release | : 2007-11-26 |
| ISBN 10 | : 0387733930 |
| ISBN 13 | : 9780387733937 |
| Language | : EN, FR, DE, ES & NL |
Language: en
Pages: 202
Pages: 202
This book has been written for undergraduate and graduate students in various disciplines of mathematics. The authors, internationally recognized experts in the
Language: en
Pages: 202
Pages: 202
This book has been written for undergraduate and graduate students in various disciplines of mathematics. The authors, internationally recognized experts in the
Language: en
Pages: 228
Pages: 228
This book studies methods to concretely address inverse problems. An inverse problem arises when the causes that produced a given effect must be determined or w
Language: en
Pages: 269
Pages: 269
Inverse problems are found in many applications, such as medical imaging, engineering, astronomy, and geophysics, among others. To solve an inverse problem is t
Language: en
Pages: 135
Pages: 135
This book is an introduction to both computational inverse problems and uncertainty quantification (UQ) for inverse problems. The book also presents more advanc
Language: en
Pages: 702
Pages: 702
This volume guides the reader along a statistical journey that begins with the basic structure of Bayesian theory, and then provides details on most of the past
Language: en
Pages: 569
Pages: 569
This book presents, in a methodical way, updated and comprehensive descriptions and analyses of some of the most relevant problems in the context of fluid-struc
Language: en
Pages: 805
Pages: 805
This book offers unique insight on structural safety and reliability by combining computational methods that address multiphysics problems, involving multiple e
Language: en
Pages: 337
Pages: 337
"This book seeks to advance cutting-edge research in the field, with a special focus on cross-disciplinary work involving recent advances in IT, enabling struct
Language: en
Pages: 614
Pages: 614
A high-impact, prestigious, annual publication containing invited surveys by subject leaders: essential reading for all practitioners and researchers.
