Lingua: Inglese
Editore: Pergamon Press, 1965
Da: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germania
EUR 4,45
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Aggiungi al carrellogebundene Ausgabe. Condizione: Gut. 293 Seiten; Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Leichte altersbedingte Anbräunung des Papiers. Einbandkanten sind leicht bestoßen. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 820.
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 66,77
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EUR 66,49
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Lingua: Inglese
Editore: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 78,26
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Da: Chiron Media, Wallingford, Regno Unito
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Aggiungi al carrelloPF. Condizione: New.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
EUR 76,29
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
EUR 85,38
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Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 84,25
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2022. Paperback. . . . . .
Lingua: Inglese
Editore: MP-SIA SIAM - Society for Industrial and Applied M, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 94,84
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 102,41
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Aggiungi al carrelloPaperback. Condizione: New. Collecting a set of classical and emerging methods that otherwise would not be available in a single treatment, Foundations of Computational Imaging: A Model-Based Approach is the first book to define a common foundation for the mathematical and statistical methods used in computational imaging. The book is designed to bring together an eclectic group of researchers with a wide variety of applications and disciplines including applied math, physics, chemistry, optics, and signal processing, to address a collection of problems that can benefit from a common set of methods. Inside, readers will find:Basic techniques of model-based image processing.A comprehensive treatment of Bayesian and regularized image reconstruction methods.An integrated treatment of advanced reconstruction techniques such as majorization, constrained optimization, ADMM, and Plug-and-Play methods for model integration.Foundations of Computational Imaging can be used in courses on Model-Based or Computational Imaging, Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. It is also for researchers or practitioners in medical imaging, scientific imaging, commercial imaging, or industrial imaging.
Lingua: Inglese
Editore: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 86,32
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Lingua: Inglese
Editore: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
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Lingua: Inglese
Editore: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Da: Majestic Books, Hounslow, Regno Unito
EUR 105,56
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Lingua: Inglese
Editore: Society For Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Da: Revaluation Books, Exeter, Regno Unito
EUR 100,98
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Aggiungi al carrelloPaperback / Softback. Condizione: Brand New. 337 pages. 9.96x7.09x0.87 inches. In Stock.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 95,64
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
Da: Revaluation Books, Exeter, Regno Unito
EUR 103,92
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Aggiungi al carrelloPaperback. Condizione: Brand New. 536 pages. 10.00x7.01x1.26 inches. In Stock.
Lingua: Inglese
Editore: SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: preigu, Osnabrück, Germania
EUR 62,05
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Statistical Methods for Materials Science | The Data Science of Microstructure Characterization | Jeffrey P. Simmons (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | CRC Press | EAN 9780367780289 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Da: Rarewaves.com UK, London, Regno Unito
EUR 95,20
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Collecting a set of classical and emerging methods that otherwise would not be available in a single treatment, Foundations of Computational Imaging: A Model-Based Approach is the first book to define a common foundation for the mathematical and statistical methods used in computational imaging. The book is designed to bring together an eclectic group of researchers with a wide variety of applications and disciplines including applied math, physics, chemistry, optics, and signal processing, to address a collection of problems that can benefit from a common set of methods. Inside, readers will find:Basic techniques of model-based image processing.A comprehensive treatment of Bayesian and regularized image reconstruction methods.An integrated treatment of advanced reconstruction techniques such as majorization, constrained optimization, ADMM, and Plug-and-Play methods for model integration.Foundations of Computational Imaging can be used in courses on Model-Based or Computational Imaging, Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. It is also for researchers or practitioners in medical imaging, scientific imaging, commercial imaging, or industrial imaging.
Condizione: New.
Lingua: Inglese
Editore: Taylor & Francis Inc, Bosa Roca, 2019
ISBN 10: 1498738206 ISBN 13: 9781498738200
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condizione: As New. Unread book in perfect condition.