Introduction to Uncertainty Quantification
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The work Introduction to Uncertainty Quantification represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Introduction to Uncertainty Quantification
Resource Information
The work Introduction to Uncertainty Quantification represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Introduction to Uncertainty Quantification
 Statement of responsibility
 by T.J. Sullivan
 Subject

 Probability Theory and Stochastic Processes
 Numerical Analysis
 Theoretical, Mathematical and Computational Physics
 Physics
 Probabilities
 Appl.Mathematics/Computational Methods of Engineering
 Mathematical optimization
 Probabilities
 Numerical analysis
 Engineering mathematics
 Electronic resources
 Physics
 Engineering mathematics
 Numerical analysis
 Mathematics
 Optimization
 Physics
 Mathematics
 Numerical Analysis
 Applied mathematics
 Mathematical optimization
 Applied mathematics
 Language
 eng
 Summary
 Uncertainty quantification is a topic of increasing practical importance at the intersection of applied mathematics, statistics, computation, and numerous application areas in science and engineering. This text provides a framework in which the main objectives of the field of uncertainty quantification are defined, and an overview of the range of mathematical methods by which they can be achieved. Complete with exercises throughout, the book will equip readers with both theoretical understanding and practical experience of the key mathematical and algorithmic tools underlying the treatment of uncertainty in modern applied mathematics. Students and readers alike are encouraged to apply the mathematical methods discussed in this book to their own favourite problems to understand their strengths and weaknesses, also making the text suitable as a selfstudy. This text is designed as an introduction to uncertainty quantification for senior undergraduate and graduate students with a mathematical or statistical background, and also for researchers from the mathematical sciences or from applications areas who are interested in the field. T. J. Sullivan was Warwick Zeeman Lecturer at the Mathematics Institute of the University of Warwick, United Kingdom, from 2012 to 2015. Since 2015, he is Junior Professor of Applied Mathematics at the Free University of Berlin, Germany, with specialism in Uncertainty and Risk Quantification
 Image bit depth
 0
 LC call number

 QA273.A1274.9
 QA274274.9
 Literary form
 non fiction
 Series statement
 Texts in Applied Mathematics,
 Series volume
 63
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