Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Da: Reader's Corner, Inc., Raleigh, NC, U.S.A.
Prima edizione
Soft cover. Condizione: 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.
Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 66,01
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2018. paperback. . . . . .
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 79,60
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: MP-SIA SIAM - Society for Industrial and Applied M, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 74,23
Quantità: 2 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 71,82
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 71,95
Quantità: 2 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2018. paperback. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 82,97
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Da: Rarewaves.com UK, London, Regno Unito
EUR 71,81
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.