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Large-Scale Inverse Problems and Quantification of Uncertainty by George Biros (
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eBay item number:388387470057
Item specifics
- Condition
- ISBN-13
- 9780470697436
- Book Title
- Large-Scale Inverse Problems and Quantification of Uncertainty
- ISBN
- 9780470697436
- Publication Name
- Large-Scale Inverse Problems and Quantification of Uncertainty
- Publisher
- John Wiley & Sons INC International Concepts
- Subject
- Mathematics
- Publication Year
- 2010
- Series
- Wiley Series in Computational Statistics
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 235 mm
- Item Weight
- 760 g
- Item Width
- 158 mm
- Number of Pages
- 388 Pages
About this product
Product Information
This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems. The aim is to cross-fertilize the perspectives of researchers in the areas of data assimilation, statistics, large-scale optimization, applied and computational mathematics, high performance computing, and cutting-edge applications. The solution to large-scale inverse problems critically depends on methods to reduce computational cost. Recent research approaches tackle this challenge in a variety of different ways. Many of the computational frameworks highlighted in this book build upon state-of-the-art methods for simulation of the forward problem, such as, fast Partial Differential Equation (PDE) solvers, reduced-order models and emulators of the forward problem, stochastic spectral approximations, and ensemble-based approximations, as well as exploiting the machinery for large-scale deterministic optimization through adjoint and other sensitivity analysis methods. Key Features: Brings together the perspectives of researchers in areas of inverse problems and data assimilation. Assesses the current state-of-the-art and identify needs and opportunities for future research. Focuses on the computational methods used to analyze and simulate inverse problems. Written by leading experts of inverse problems and uncertainty quantification. Graduate students and researchers working in statistics, mathematics and engineering will benefit from this book.
Product Identifiers
Publisher
John Wiley & Sons INC International Concepts
ISBN-13
9780470697436
eBay Product ID (ePID)
92981472
Product Key Features
Number of Pages
388 Pages
Publication Name
Large-Scale Inverse Problems and Quantification of Uncertainty
Language
English
Subject
Mathematics
Publication Year
2010
Type
Textbook
Series
Wiley Series in Computational Statistics
Format
Hardcover
Dimensions
Item Height
235 mm
Item Weight
760 g
Item Width
158 mm
Additional Product Features
Editor
George Biros, Luis Tenorio, Karen Willcox, Youssef Marzouk, Matthias Heinkenschloss, Bani Mallick, Bart van Bloemen Waanders, Omar Ghattas, David Keyes, Lorenz Biegler
Country/Region of Manufacture
United States
Item description from the seller
Seller business information
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- e***r (2705)- Feedback left by buyer.Past 6 monthsVerified purchaseItem as described , safely packaged and fast delivery , good price , great communication Highly recommended eBayer A+++++Black Marxism: The Making of the Black Radical Tradition by Cedric J. Robinson ( (#235424241319)
- o***n (488)- Feedback left by buyer.Past monthVerified purchaseQuick delivery as it arrived before the expected due date and very well packaged. Great price. Good communication on the progress of my order too. A reliable and good trader. Very pleased. Many thanks.
- h***h (450)- Feedback left by buyer.Past monthVerified purchaseThe item was delivered promptly and matched the description provided in the listing. It arrived in excellent condition and was securely packaged. The purchase offered great value for money, and the product is of superior quality. I would defiantly recommend anyone to buy from this seller in the future.