Sprache: Englisch
Verlag: SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Anbieter: Reader's Corner, Inc., Raleigh, NC, USA
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Soft cover. Zustand: 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.
Sprache: Englisch
Verlag: SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Zustand: New. 2018. paperback. . . . . .
Sprache: Englisch
Verlag: Society for Industrial and Applied Mathematics,U.S., US, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 79,60
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In den WarenkorbPaperback. Zustand: 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.
Sprache: Englisch
Verlag: SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New.
Sprache: Englisch
Verlag: MP-SIA SIAM - Society for Industrial and Applied M, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 74,23
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 71,82
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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Society for Industrial & Applied Mathematics,U.S., 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
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EUR 71,95
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In den WarenkorbPaperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days.
Sprache: Englisch
Verlag: SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2018. paperback. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: SIAM - Society for Industrial and Applied Mathematics, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 82,79
Anzahl: 2 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Society for Industrial and Applied Mathematics,U.S., US, 2018
ISBN 10: 1611975379 ISBN 13: 9781611975376
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 71,81
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: 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.