Language: English
Published by Society for Industrial and Appli, 2013
ISBN 10: 1611972477 ISBN 13: 9781611972474
Seller: Webster's Bookstore Cafe, Inc., State College, PA, U.S.A.
paperback. Condition: Good. Contains occasional marginalia and/or underlining. Light shelf wear. Else clean and tight.
paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Hardcover. XVIII, 256 p. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C-05298 3540571957 Sprache: Englisch Gewicht in Gramm: 550.
256 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. 3540571957 Sprache: Englisch Gewicht in Gramm: 900.
Published by Springer, 2007
ISBN 10: 0387733930 ISBN 13: 9780387733937
Seller: Stella & Rose's Books, PBFA, Tintern, MON, United Kingdom
Association Member: PBFA
First Edition
Softcover. Condition: Very Good. No Jacket. First edition. 1st 2007. Very good condition. Ten Lectures on Subjective Computing. Surveys and Tutorials in the Applied Mathematical Sciences Volume II. Yellow cardwraps. Some light creasing to covers. Contents are clean. Packaged with care and promptly dispatched!
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 45.35
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Language: English
Published by Springer New York 2008-10-10, 2008
ISBN 10: 0387733930 ISBN 13: 9780387733937
Seller: Chiron Media, Wallingford, United Kingdom
£ 42.57
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Add to basketPaperback. Condition: New.
Condition: New.
Condition: New.
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2023
ISBN 10: 1611977398 ISBN 13: 9781611977394
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Designed for a proof-based course on linear algebra, this rigorous and concise textbook intentionally introduces vector spaces, inner products, and vector and matrix norms before Gaussian elimination and eigenvalues so students can quickly discover the singular value decomposition (SVD)-arguably the most enlightening and useful of all matrix factorizations. Gaussian elimination is then introduced after the SVD and the four fundamental subspaces and is presented in the context of vector spaces rather than as a computational recipe. This allows the authors to use linear independence, spanning sets and bases, and the four fundamental subspaces to explain and exploit Gaussian elimination and the LU factorization, as well as the solution of overdetermined linear systems in the least squares sense and eigenvalues and eigenvectors. This unique textbook also includes examples and problems focused on concepts rather than the mechanics of linear algebra. The problems at the end of each chapter and in an associated website encourage readers to explore how to use the notions introduced in the chapter in a variety of ways. Additional problems, quizzes, and exams will be posted on an accompanying website and updated regularly. The Less Is More Linear Algebra of Vector Spaces and Matrices is for students and researchers interested in learning linear algebra who have the mathematical maturity to appreciate abstract concepts that generalize intuitive ideas. The early introduction of the SVD makes the book particularly useful for those interested in using linear algebra in applications such as scientific computing and data science. It is appropriate for a first proof-based course in linear algebra.
Condition: Very Good+. Hardcover, [xvi], 339 pages. Very Good+ condition. Size 9.5"x6.375". "The book develops the statistical approach to inverse problems with an emphasis on modeling and computations. The framework is the Bayesian paradigm, where all variables are modeled as random variables, the randomness reflecting the degree of belief of their values, and the solution of the inverse problem is expressed in terms of probability densities. The book discusses in detail the construction of prior models, the measurement noise modeling and Bayesian estimation. Markov Chain Monte Carlo-methods as well as optimization methods are employed to explore the probability distributions. The results and techniques are clarified with classroom examples that are often non-trivial but easy to follow. Besides the simple examples, the book contains previously unpublished research material, where the statistical approach is developed further to treat such problems as discretization errors, and statistical model reduction. Furthermore, the techniques are then applied to a number of real world applications such as limited angle tomography, image deblurring, electrical impedance tomography and biomagnetic inverse problems." Book has moderate exterior shelfwear, else Fine condition, clean and unmarked.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 50.43
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PF. Condition: New.
Condition: New. pp. 276.
Condition: As New. Unread book in perfect condition.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2023
ISBN 10: 1611977398 ISBN 13: 9781611977394
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. 2023. paperback. . . . . .
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2023
ISBN 10: 1611977398 ISBN 13: 9781611977394
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 225 pages. 10.00x7.01x0.63 inches. In Stock.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977398 ISBN 13: 9781611977394
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Paperback. Condition: Brand New. reprint edition. 276 pages. 9.25x6.10x0.70 inches. In Stock.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977398 ISBN 13: 9781611977394
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977398 ISBN 13: 9781611977394
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2023. paperback. . . . . . Books ship from the US and Ireland.
Language: English
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3662139286 ISBN 13: 9783662139288
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book contains presentations of recent and ongoingresearch on inverse problems and its application toengineering and physical sciences. The articles arestructured around three closely related topics: Inversescattering problems, inverse boundary value problems, andinverse spectral problems. The applications range fromquantum and electromagnetic scattering to medical imaging,geophysical sounding of the Earth, and non-destructivematerial evaluation. The book gives an up-to-datepresentation of the most recent developments in theserapidlychanging and evolving fields of applied research.The contributors of the volume give extra emphysis to thepedagogical aspects of their presentation to make thiscollection eysily accessible to graduate students as well asto people working on nearby fields of research.
Seller: Studibuch, Stuttgart, Germany
hardcover. Condition: Gut. 303 Seiten; 9783031238239.3 Gewicht in Gramm: 1.
Language: English
Published by Springer-Verlag GmbH & Co. KG, 1993
ISBN 10: 3540571957 ISBN 13: 9783540571957
Seller: Buchpark, Trebbin, Germany
Condition: Gut. Zustand: Gut | Seiten: 274 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2023
ISBN 10: 1611977398 ISBN 13: 9781611977394
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. Designed for a proof-based course on linear algebra, this rigorous and concise textbook intentionally introduces vector spaces, inner products, and vector and matrix norms before Gaussian elimination and eigenvalues so students can quickly discover the singular value decomposition (SVD)-arguably the most enlightening and useful of all matrix factorizations. Gaussian elimination is then introduced after the SVD and the four fundamental subspaces and is presented in the context of vector spaces rather than as a computational recipe. This allows the authors to use linear independence, spanning sets and bases, and the four fundamental subspaces to explain and exploit Gaussian elimination and the LU factorization, as well as the solution of overdetermined linear systems in the least squares sense and eigenvalues and eigenvectors. This unique textbook also includes examples and problems focused on concepts rather than the mechanics of linear algebra. The problems at the end of each chapter and in an associated website encourage readers to explore how to use the notions introduced in the chapter in a variety of ways. Additional problems, quizzes, and exams will be posted on an accompanying website and updated regularly. The Less Is More Linear Algebra of Vector Spaces and Matrices is for students and researchers interested in learning linear algebra who have the mathematical maturity to appreciate abstract concepts that generalize intuitive ideas. The early introduction of the SVD makes the book particularly useful for those interested in using linear algebra in applications such as scientific computing and data science. It is appropriate for a first proof-based course in linear algebra.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 116.47
Quantity: Over 20 available
Add to basketCondition: New. In.
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