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An Introduction to Bayesian Scientific Computing

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
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An Introduction to Bayesian Scientific Computing
Language: en
Pages: 202

An Introduction to Bayesian Scientific Computing

Authors: Daniela Calvetti
Categories: Computers
Type: BOOK - Published: 2007-11-26 - Publisher: Springer

This book has been written for undergraduate and graduate students in various disciplines of mathematics. The authors, internationally recognized experts in the
An Introduction to Bayesian Scientific Computing
Language: en
Pages: 202

An Introduction to Bayesian Scientific Computing

Authors: Daniela Calvetti
Categories: Computers
Type: BOOK - Published: 2007-11-20 - Publisher: Springer Science & Business Media

This book has been written for undergraduate and graduate students in various disciplines of mathematics. The authors, internationally recognized experts in the
Numerical Methods for Inverse Problems
Language: en
Pages: 228

Numerical Methods for Inverse Problems

Authors: Michel Kern
Categories: Mathematics
Type: BOOK - Published: 2016-03-31 - Publisher: John Wiley & Sons

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
An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems
Language: en
Pages: 269

An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems

Authors: Luis Tenorio
Categories: Mathematics
Type: BOOK - Published: 2017-07-06 - Publisher: SIAM

Inverse problems are found in many applications, such as medical imaging, engineering, astronomy, and geophysics, among others. To solve an inverse problem is t
Computational Uncertainty Quantification for Inverse Problems
Language: en
Pages: 135

Computational Uncertainty Quantification for Inverse Problems

Authors: Johnathan M. Bardsley
Categories: Science
Type: BOOK - Published: 2018-08-01 - Publisher: SIAM

This book is an introduction to both computational inverse problems and uncertainty quantification (UQ) for inverse problems. The book also presents more advanc
Bayesian Theory and Applications
Language: en
Pages: 702

Bayesian Theory and Applications

Authors: David A. Stephens
Categories: Mathematics
Type: BOOK - Published: 2013-01-24 - Publisher: Oxford University Press

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
Fluid-Structure Interaction and Biomedical Applications
Language: en
Pages: 569

Fluid-Structure Interaction and Biomedical Applications

Authors: Tomáš Bodnár
Categories: Mathematics
Type: BOOK - Published: 2014-10-13 - Publisher: Springer

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
Numerical Methods for Reliability and Safety Assessment
Language: en
Pages: 805

Numerical Methods for Reliability and Safety Assessment

Authors: Seifedine Kadry
Categories: Science
Type: BOOK - Published: 2014-09-30 - Publisher: Springer

This book offers unique insight on structural safety and reliability by combining computational methods that address multiphysics problems, involving multiple e
Emerging Design Solutions in Structural Health Monitoring Systems
Language: en
Pages: 337

Emerging Design Solutions in Structural Health Monitoring Systems

Authors: Diego Alexander Tibaduiza Burgos
Categories: Technology & Engineering
Type: BOOK - Published: 2015-10-07 - Publisher: IGI Global

"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
Acta Numerica 2010: Volume 19
Language: en
Pages: 606

Acta Numerica 2010: Volume 19

Authors: Arieh Iserles
Categories: Mathematics
Type: BOOK - Published: 2010-05-27 - Publisher: Cambridge University Press

A high-impact, prestigious, annual publication containing invited surveys by subject leaders: essential reading for all practitioners and researchers.

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