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.
Product details
Publisher : Springer International Publishing AG; Softcover reprint of the original 1st ed. 2015 edition (13 March 2019)
Language : English
Paperback : 342 pages
ISBN-10 : 3319794787
ISBN-13 : 978-3319794785
Item Weight : 550 g
Dimensions : 15.5 x 2.06 x 23.5 cm
Country of Origin : India
Best Sellers Rank: #423,876 in Books (See Top 100 in Books)
#718 in Statistics
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