Bouman Charles (41 results)
Communication Processes: Proceedings of a Symposium Held in Washington, 1963. NATO Conference Series, vol. 4.
Geldard, Frank A., Maarten A. Bouman Charles A. Chandessais a. o.:
Language: English
Published by Pergamon Press 1965
Seller: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, , Germanybooks4less (Versandantiquariat Petra Gros GmbH & Co. KG)
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gebundene Ausgabe. Condition: 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 Pap…iers. Einbandkanten sind leicht bestoßen. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 820.
Post-Traumatic Urbanism (Architectural design ; v. 80, no. 5) (Architectural design profile ; 207)
Lahoud, Rice & Burke (guest eds.); Benjamin; Bouman; Chakar; Fisher; Hight; Massumi; Reisz; Weizman; Zizek
- Softcover
- First Edition
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Trade Paperback Original. Condition: Very Good-. First Edition. Volume has small top-corner creasing; top corner of title page has a small red heart stamp; tight, text clean. 136 p., well illustrated [otob: 36] Size: Oversize.
Statistical Methods for Materials Science : The Data Science of Microstructure Characterization
Simmons, Jeffrey P. (EDT); Drummy, Lawrence F. (EDT); Bouman, Charles A. (EDT); De Graef, Marc (EDT)
- Softcover
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Statistical Methods for Materials Science : The Data Science of Microstructure Characterization
Simmons, Jeffrey P. (EDT); Drummy, Lawrence F. (EDT); Bouman, Charles A. (EDT); De Graef, Marc (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Softcover
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- Softcover
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Statistical Methods for Materials Science : The Data Science of Microstructure Characterization
Simmons, Jeffrey P. (EDT); Drummy, Lawrence F. (EDT); Bouman, Charles A. (EDT); De Graef, Marc (EDT)
- Softcover
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Statistical Methods for Materials Science : The Data Science of Microstructure Characterization
Simmons, Jeffrey P. (EDT); Drummy, Lawrence F. (EDT); Bouman, Charles A. (EDT); De Graef, Marc (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
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Condition: New. 1st edition NO-PA16APR2015-KAP.
- Softcover
Seller: Chiron Media, Wallingford, , United KingdomChiron Media
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PF. Condition: New.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Language: English
Published by SIAM-Society for Industrial and Applied Mathematics 2022
- Softcover
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Language: English
Published by Society for Industrial & Applied Mathematics,U.S. 2022
- Softcover
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Condition: New. 2022. Paperback. . . . . .
Language: English
Published by SIAM-Society for Industrial and Applied Mathematics 2022
- Softcover
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Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US 2022
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: 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 bo…ok 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.
Language: English
Published by MP-SIA SIAM - Society for Industrial and Applied M 2022
- Softcover
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Language: English
Published by SIAM-Society for Industrial and Applied Mathematics 2022
- Softcover
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Language: English
Published by SIAM-Society for Industrial and Applied Mathematics 2022
- Softcover
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Language: English
Published by Society For Industrial & Applied Mathematics,U.S. 2022
- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Paperback / Softback. Condition: Brand New. 337 pages. 9.96x7.09x0.87 inches. In Stock.
Language: English
Published by Society for Industrial & Applied Mathematics,U.S. 2022
- Softcover
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Language: English
Published by Society for Industrial & Applied Mathematics,U.S. 2022
- Softcover
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- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Paperback. Condition: Brand New. 536 pages. 10.00x7.01x1.26 inches. In Stock.
More images- Softcover
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Taschenbuch. Condition: 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.
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US 2022
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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Paperback. Condition: 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 bo…ok 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.
Statistical Methods for Materials Science : The Data Science of Microstructure Characterization
Simmons, Jeffrey P. (EDT); Drummy, Lawrence F. (EDT); Bouman, Charles A. (EDT); De Graef, Marc (EDT)
- Hardcover
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- Hardcover
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Hardcover. Condition: 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 cha…racterization. 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.
Statistical Methods for Materials Science : The Data Science of Microstructure Characterization
Simmons, Jeffrey P. (EDT); Drummy, Lawrence F. (EDT); Bouman, Charles A. (EDT); De Graef, Marc (EDT)
- Hardcover
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Statistical Methods for Materials Science : The Data Science of Microstructure Characterization
Simmons, Jeffrey P. (EDT); Drummy, Lawrence F. (EDT); Bouman, Charles A. (EDT); De Graef, Marc (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Statistical Methods for Materials Science : The Data Science of Microstructure Characterization
Simmons, Jeffrey P. (EDT); Drummy, Lawrence F. (EDT); Bouman, Charles A. (EDT); De Graef, Marc (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Hardcover
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