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Condition: Good. 1st Edition. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
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Inverse Problems and Large-Scale Computations.
Book 52 of 364: Springer Proceedings in Mathematics & StatisticsSeller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
x, 217 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Large Scale Inverse Problems
Book 12 of 28: Radon Series on Computational and Applied MathematicsLanguage: English
Published by Walter de Gruyter, Incorporated, 2013
ISBN 10: 3110282224 ISBN 13: 9783110282221
Condition: New. pp. xx + 250.
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Large-Scale Optimization with Applications: Part I: Optimization in Inverse Problems and Design (The IMA Volumes in Mathematics and its Applications) Part I: Optimization in Inverse Problems and Design
Language: English
Published by Springer 01.08.1997., 1997
ISBN 10: 0387982868 ISBN 13: 9780387982861
Condition: Sehr gut. Auflage: 1997. 204 Seiten Exemplar aus einer wissenchaftlichen Bibliothek Sprache: Englisch Gewicht in Gramm: 469 23,6 x 15,5 x 1,8 cm, Gebundene Ausgabe.
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Large Scale Inverse Problems
Book 12 of 28: Radon Series on Computational and Applied MathematicsLanguage: English
Published by Walter de Gruyter, Incorporated, 2013
ISBN 10: 3110282224 ISBN 13: 9783110282221
Condition: New. pp. xx + 250.
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Condition: Brand New. New. US edition. Excellent Customer Service.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Large Scale Inverse Problems
Book 12 of 28: Radon Series on Computational and Applied MathematicsLanguage: English
Published by Walter de Gruyter, Incorporated, 2013
ISBN 10: 3110282224 ISBN 13: 9783110282221
Condition: New. pp. xx + 250.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Large-Scale Inverse Problems And Quantification Of Uncertainty (Wiley Series In Computational Statistics Book 713)
Published by Wiley; 1st edition (June 24, 2011), 2011
ISBN 10: 0470697431 ISBN 13: 9780470697436
First Edition
Hardcover. Condition: Very Good. Dust Jacket Condition: No Dustjacket. First Edition. ISBN 9780470697436. Hardback. No dustjacket. Bound in Pictorial Boards. Near Fine condition. Tight bright attractive copy with no markings to the book. As new condition. This book is Large-Scale Inverse Problems and Quantification of Uncertainty (Wiley Series in Computational Statistics Book 713). No Signature.
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Large-Scale Inverse Problems and Quantification of Uncertainty
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Large-Scale Optimization with Applications: Part I: Optimization in Inverse Problems and Design (The IMA Volumes in Mathematics and its Applications, 92)
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Large-Scale Optimization with Applications: Part I: Optimization in Inverse Problems and Design (The IMA Volumes in Mathematics and its Applications)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 131.10
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Inverse Problems and Large-Scale Computations (Springer Proceedings in Mathematics & Statistics, 52)
Book 52 of 364: Springer Proceedings in Mathematics & StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Inverse Problems and Large-Scale Computations (Springer Proceedings in Mathematics & Statistics, 52)
Book 52 of 364: Springer Proceedings in Mathematics & StatisticsSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Large-Scale Inverse Problems and Quantification of Uncertainty (Hardcover)
Language: English
Published by John Wiley & Sons Inc, New York, 2010
ISBN 10: 0470697431 ISBN 13: 9780470697436
First Edition
Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Inverse Problems and Large-Scale Computations
Book 52 of 364: Springer Proceedings in Mathematics & StatisticsUS$ 26.17 10% offUS$ 23.56
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This volume is a result of two international workshops, namely the Second Annual Workshop on Inverse Problems and the Workshop on Large-Scale Modeling, held jointly in Sunne, Sweden from May 1-6 2012. The subject of the inverse problems workshop was to present new analytical developments and new numerical methods for solutions of inverse problems. The objective of the large-scale modeling workshop was to identify large-scale problems arising in various fields of science and technology and covering all possible applications, with a particular focus on urgent problems in theoretical and applied electromagnetics. The workshops brought together scholars, professionals, mathematicians, and programmers and specialists working in large-scale modeling problems. The contributions in this volume are reflective of these themes and will be beneficial to researchers in this area.
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Inverse Problems and Large-scale Computations
Book 52 of 364: Springer Proceedings in Mathematics & StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. pp. 388.
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Large Scale Inverse Problems (Radon Series on Computational and Applied Mathematics)
Book 12 of 28: Radon Series on Computational and Applied MathematicsUS$ 134.85
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Add to basketCondition: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient simulation packages. Many of these simulators, which can run on small workstations, can capture the complicated behavior of the physical systems they are modeling, and have become commonplace tools in engineering and science. There is a great desire to use them as part of a process by which measured field data are analyzed or by which design of a product is automated. A major obstacle in doing precisely this is that one is ultimately confronted with a large-scale optimization problem. This volume contains expository articles on both inverse problems and design problems formulated as optimization. Each paper describes the physical problem in some detail and is meant to be accessible to researchers in optimization as well as those who work in applied areas where optimization is a key tool. What emerges in the presentations is that there are features about the problem that must be taken into account in posing the objective function, and in choosing an optimization strategy. In particular there are certain structures peculiar to the problems that deserve special treatment, and there is ample opportunity for parallel computation. THIS IS BACK COVER TEXT!!! Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient, simulation packages. The problem of determining the parameters of a physical system from.
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US$ 44.28 10% off
US$ 39.86
US$ 123.61 shipping
Ships from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient simulation packages. Many of these simulators, which can run on small workstations, can capture the complicated behavior of the physical systems they are modeling, and have become commonplace tools in engineering and science. There is a great desire to use them as part of a process by which measured field data are analyzed or by which design of a product is automated. A major obstacle in doing precisely this is that one is ultimately confronted with a large-scale optimization problem. This volume contains expository articles on both inverse problems and design problems formulated as optimization. Each paper describes the physical problem in some detail and is meant to be accessible to researchers in optimization as well as those who work in applied areas where optimization is a key tool. What emerges in the presentations is that there are features about the problem that must be taken into account in posing the objective function, and in choosing an optimization strategy. In particular there are certain structures peculiar to the problems that deserve special treatment, and there is ample opportunity for parallel computation. THIS IS BACK COVER TEXT!!! Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient, simulation packages. The problem of determining the parameters of a physical system from.
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Inverse Problems and Large-Scale Computations
Book 52 of 364: Springer Proceedings in Mathematics & StatisticsLanguage: English
Published by Springer International Publishing AG, 2016
ISBN 10: 3319345125 ISBN 13: 9783319345123
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. Editor(s): Beilina, Larisa; Shestopalov, Yury V. Series: Springer Proceedings in Mathematics and Statistics. Num Pages: 217 pages, 26 black & white illustrations, 30 colour illustrations, biography. BIC Classification: PBK; PDE; TG. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 12. Weight in Grams: 355. . 2016. Softcover reprint of the original 1st ed. 2013. Paperback. . . . .
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