Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Seller: Reader's Corner, Inc., Raleigh, NC, U.S.A.
First Edition
Soft cover. Condition: As New. 1st Edition. This is a fine, as new, first edition, first printing paperback copy, black spine, 133 pages with index. Photos on request.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. 2018. paperback. . . . . .
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. This book is an introduction to both computational inverse problems and uncertainty quantification (UQ) for inverse problems. The book also presents more advanced material on Bayesian methods and UQ, including Markov chain Monte Carlo sampling methods for UQ in inverse problems. Each chapter contains MATLAB® code that implements the algorithms and generates the figures, as well as a large number of exercises accessible to both graduate students and researchers. Computational Uncertainty Quantification for Inverse Problems is intended for graduate students, researchers, and applied scientists. It is appropriate for courses on computational inverse problems, Bayesian methods for inverse problems, and UQ methods for inverse problems.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by MP-SIA SIAM - Society for Industrial and Applied M, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2018. paperback. . . . . . Books ship from the US and Ireland.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. This book is an introduction to both computational inverse problems and uncertainty quantification (UQ) for inverse problems. The book also presents more advanced material on Bayesian methods and UQ, including Markov chain Monte Carlo sampling methods for UQ in inverse problems. Each chapter contains MATLAB® code that implements the algorithms and generates the figures, as well as a large number of exercises accessible to both graduate students and researchers. Computational Uncertainty Quantification for Inverse Problems is intended for graduate students, researchers, and applied scientists. It is appropriate for courses on computational inverse problems, Bayesian methods for inverse problems, and UQ methods for inverse problems.