Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: Speedyhen, London, Regno Unito
EUR 34,71
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Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 35,75
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Aggiungi al carrelloPaperback. Condizione: Brand New. 221 pages. 8.98x5.87x0.51 inches. In Stock.
Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 45,85
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Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 42,24
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Editore: Cambridge University Press 8/10/2023, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 39,42
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Inverse Problems and Data Assimilation 0.68. Book.
Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 40,24
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Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 37,08
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Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 55,58
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Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 40,57
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Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 42,38
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Editore: Cambridge University Press Aug 2023, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 43,62
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - This concise introduction provides an entry point to the world of inverse problems and data assimilation for advanced undergraduates and beginning graduate students in the mathematical sciences. It will also appeal to researchers in science and engineering who are interested in the systematic underpinnings of methodologies widely used in their disciplines. The authors examine inverse problems and data assimilation in turn, before exploring the use of data assimilation methods to solve generic inverse problems by introducing an artificial algorithmic time. Topics covered include maximum a posteriori estimation, (stochastic) gradient descent, variational Bayes, Monte Carlo, importance sampling and Markov chain Monte Carlo for inverse problems; and 3DVAR, 4DVAR, extended and ensemble Kalman filters, and particle filters for data assimilation. The book contains a wealth of examples and exercises, and can be used to accompany courses as well as for self-study.
Editore: Cambridge University Press -, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 36,47
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Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 54,87
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Aggiungi al carrelloCondizione: New. pp. 228 1st edition NO-PA16APR2015-KAP.
Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 54,00
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Aggiungi al carrelloPaperback. Condizione: Brand New. 221 pages. 8.98x5.87x0.51 inches. In Stock.
Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 48,38
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Editore: Cambridge University Press, 2023
ISBN 10: 1009414321 ISBN 13: 9781009414326
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 90,65
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Editore: Cambridge University Press (edition 1), 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: BooksRun, Philadelphia, PA, U.S.A.
EUR 47,50
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Aggiungi al carrelloPaperback. Condizione: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Editore: Cambridge University Press, 2023
ISBN 10: 1009414321 ISBN 13: 9781009414326
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 121,34
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Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009414321 ISBN 13: 9781009414326
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 107,29
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This concise introduction provides an entry point to the world of inverse problems and data assimilation for advanced undergraduates and beginning graduate students in the mathematical sciences. It will also appeal to researchers in science and engineering who are interested in the systematic underpinnings of methodologies widely used in their disciplines. The authors examine inverse problems and data assimilation in turn, before exploring the use of data assimilation methods to solve generic inverse problems by introducing an artificial algorithmic time. Topics covered include maximum a posteriori estimation, (stochastic) gradient descent, variational Bayes, Monte Carlo, importance sampling and Markov chain Monte Carlo for inverse problems; and 3DVAR, 4DVAR, extended and ensemble Kalman filters, and particle filters for data assimilation. The book contains a wealth of examples and exercises, and can be used to accompany courses as well as for self-study. This concise introduction covers inverse problems and data assimilation, before exploring their inter-relations. Suitable for both classroom teaching and self-guided study, it is aimed at advanced undergraduates and beginning graduate students in mathematical sciences, together with researchers in science and engineering. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press Aug 2023, 2023
ISBN 10: 1009414321 ISBN 13: 9781009414326
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 129,54
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - This concise introduction provides an entry point to the world of inverse problems and data assimilation for advanced undergraduates and beginning graduate students in the mathematical sciences. It will also appeal to researchers in science and engineering who are interested in the systematic underpinnings of methodologies widely used in their disciplines. The authors examine inverse problems and data assimilation in turn, before exploring the use of data assimilation methods to solve generic inverse problems by introducing an artificial algorithmic time. Topics covered include maximum a posteriori estimation, (stochastic) gradient descent, variational Bayes, Monte Carlo, importance sampling and Markov chain Monte Carlo for inverse problems; and 3DVAR, 4DVAR, extended and ensemble Kalman filters, and particle filters for data assimilation. The book contains a wealth of examples and exercises, and can be used to accompany courses as well as for self-study.
Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 40,46
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 330.
Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 55,17
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 228.
Editore: Cambridge University Press, 2023
ISBN 10: 1009414291 ISBN 13: 9781009414296
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 57,29
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 228.
Editore: Cambridge University Press, 2023
ISBN 10: 1009414321 ISBN 13: 9781009414326
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 90,39
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Aggiungi al carrelloHardcover. Condizione: Brand New. 221 pages. 9.17x6.30x0.67 inches. In Stock. This item is printed on demand.
Editore: Cambridge University Press, 2023
ISBN 10: 1009414321 ISBN 13: 9781009414326
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 98,62
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 470.
Editore: Cambridge University Press, 2023
ISBN 10: 1009414321 ISBN 13: 9781009414326
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 125,24
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Editore: Cambridge University Press, 2023
ISBN 10: 1009414321 ISBN 13: 9781009414326
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 129,38
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Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009414321 ISBN 13: 9781009414326
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 90,64
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This concise introduction provides an entry point to the world of inverse problems and data assimilation for advanced undergraduates and beginning graduate students in the mathematical sciences. It will also appeal to researchers in science and engineering who are interested in the systematic underpinnings of methodologies widely used in their disciplines. The authors examine inverse problems and data assimilation in turn, before exploring the use of data assimilation methods to solve generic inverse problems by introducing an artificial algorithmic time. Topics covered include maximum a posteriori estimation, (stochastic) gradient descent, variational Bayes, Monte Carlo, importance sampling and Markov chain Monte Carlo for inverse problems; and 3DVAR, 4DVAR, extended and ensemble Kalman filters, and particle filters for data assimilation. The book contains a wealth of examples and exercises, and can be used to accompany courses as well as for self-study. This concise introduction covers inverse problems and data assimilation, before exploring their inter-relations. Suitable for both classroom teaching and self-guided study, it is aimed at advanced undergraduates and beginning graduate students in mathematical sciences, together with researchers in science and engineering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.