Uncertainty Quantification in Variational Inequalities - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Uncertainty Quantification in Variational Inequalities write by Joachim Gwinner. This book was released on 2021-12-24. Uncertainty Quantification in Variational Inequalities available in PDF, EPUB and Kindle. Uncertainty Quantification (UQ) is an emerging and extremely active research discipline which aims to quantitatively treat any uncertainty in applied models. The primary objective of Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications is to present a comprehensive treatment of UQ in variational inequalities and some of its generalizations emerging from various network, economic, and engineering models. Some of the developed techniques also apply to machine learning, neural networks, and related fields. Features First book on UQ in variational inequalities emerging from various network, economic, and engineering models Completely self-contained and lucid in style Aimed for a diverse audience including applied mathematicians, engineers, economists, and professionals from academia Includes the most recent developments on the subject which so far have only been available in the research literature
Uncertainty Quantification in Variational Inequalities
Uncertainty Quantification in Variational Inequalities - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Uncertainty Quantification in Variational Inequalities write by Joachim Gwinner. This book was released on 2021-12-21. Uncertainty Quantification in Variational Inequalities available in PDF, EPUB and Kindle. Uncertainty Quantification (UQ) is an emerging and extremely active research discipline which aims to quantitatively treat any uncertainty in applied models. The primary objective of Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications is to present a comprehensive treatment of UQ in variational inequalities and some of its generalizations emerging from various network, economic, and engineering models. Some of the developed techniques also apply to machine learning, neural networks, and related fields. Features First book on UQ in variational inequalities emerging from various network, economic, and engineering models Completely self-contained and lucid in style Aimed for a diverse audience including applied mathematicians, engineers, economists, and professionals from academia Includes the most recent developments on the subject which so far have only been available in the research literature
Variational Methods for Uncertainty Quantification
Variational Methods for Uncertainty Quantification - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Variational Methods for Uncertainty Quantification write by David Neckels. This book was released on 2005. Variational Methods for Uncertainty Quantification available in PDF, EPUB and Kindle.
Uncertainty Quantification Using Concentration-of-measure Inequalities /cLeonard J. Lucas ; Michael Ortiz, Committee Chair and Advisor
Uncertainty Quantification Using Concentration-of-measure Inequalities /cLeonard J. Lucas ; Michael Ortiz, Committee Chair and Advisor - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Uncertainty Quantification Using Concentration-of-measure Inequalities /cLeonard J. Lucas ; Michael Ortiz, Committee Chair and Advisor write by Leonard Joseph Lucas. This book was released on 2009. Uncertainty Quantification Using Concentration-of-measure Inequalities /cLeonard J. Lucas ; Michael Ortiz, Committee Chair and Advisor available in PDF, EPUB and Kindle.
Introduction to Uncertainty Quantification
Introduction to Uncertainty Quantification - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Uncertainty Quantification write by T.J. Sullivan. This book was released on 2015-12-14. Introduction to Uncertainty Quantification available in PDF, EPUB and Kindle. This text provides a framework in which the main objectives of the field of uncertainty quantification (UQ) 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 favorite problems to understand their strengths and weaknesses, also making the text suitable for a self-study. 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 is designed as an introduction to UQ 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.
