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INTRODUCTION TO BAYESIAN SCIENTIFIC COMPUTING
Published by Springer, 2007
ISBN 10: 0387733930 ISBN 13: 9780387733937
Seller: Stella & Rose's Books, PBFA, Tintern, MON, United Kingdom
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First Edition
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Add to basketSoftcover. 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!
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Introduction to Bayesian Scientific Computing: Ten Lectures on Subjective Computing (Surveys and Tutorials in the Applied Mathematical Sciences)
Book 1 of 9: Surveys and Tutorials in the Applied Mathematical SciencesSeller: Ria Christie Collections, Uxbridge, United Kingdom
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An Introduction to Bayesian Scientific Computing: Ten Lectures on Subjective Computing: 2 (Surveys and Tutorials in the Applied Mathematical Sciences)
Book 1 of 9: Surveys and Tutorials in the Applied Mathematical SciencesLanguage: English
Published by Springer New York 2008-10-10, 2008
ISBN 10: 0387733930 ISBN 13: 9780387733937
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Introduction to Bayesian Scientific Computing : Ten Lectures on Subjective Computing
Book 1 of 9: Surveys and Tutorials in the Applied Mathematical SciencesSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Introduction to Bayesian Scientific Computing : Ten Lectures on Subjective Computing
Book 1 of 9: Surveys and Tutorials in the Applied Mathematical SciencesSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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hardcover. Condition: Gut. 303 Seiten; 9783031238239.3 Gewicht in Gramm: 1.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book of nature, according to Galilei, is written in the language of mat- matics. The nature of mathematics is being exact, and its exactness is und- lined by the formalism used by mathematicians to write it. This formalism, characterized by theorems and proofs, and syncopated with occasional l- mas, remarks and corollaries, is so deeply ingrained that mathematicians feel uncomfortable when the pattern is broken, to the point of giving the - pression that the attitude of mathematicians towards the way mathematics should be written is almost moralistic. There is a de nition often quoted, 'A mathematician is a person who proves theorems', and a similar, more alchemistic one, credited to Paul Erd os, but more likely going back to Alfr ed R enyi,statingthat'Amathematicianisamachinethattransformsco eeinto 1 theorems '. Therefore it seems to be the form, not the content, that char- terizes mathematics, similarly to what happens in any formal moralistic code wherein form takes precedence over content. This book is deliberately written in a very di erent manner, without a single theorem or proof. Since morality has its subjective component, to pa- phrase Manuel Vasquez Montalban, we could call it Ten Immoral Mathemat- 2 ical Recipes . Does the lack of theorems and proofs mean that the book is more inaccurate than traditional books of mathematics Or is it possibly just a sign of lack of co ee This is our rst open question. Exactness is an interesting concept.
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Taschenbuch. Condition: Neu. An Introduction to Bayesian Scientific Computing | Ten Lectures on Subjective Computing | Daniela Calvetti (u. a.) | Taschenbuch | xiv | Englisch | 2007 | Springer New York | EAN 9780387733937 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Bayesian Scientific Computing (Hardcover)
Language: English
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031238230 ISBN 13: 9783031238239
Hardcover. Condition: new. Hardcover. The once esoteric idea of embedding scientific computing into a probabilistic framework, mostly along the lines of the Bayesian paradigm, has recently enjoyed wide popularity and found its way into numerous applications. This book provides an insiders view of how to combine two mature fields, scientific computing and Bayesian inference, into a powerful language leveraging the capabilities of both components for computational efficiency, high resolution power and uncertainty quantification ability. The impact of Bayesian scientific computing has been particularly significant in the area of computational inverse problems where the data are often scarce or of low quality, but some characteristics of the unknown solution may be available a priori. The ability to combine the flexibility of the Bayesian probabilistic framework with efficient numerical methods has contributed to the popularity of Bayesian inversion, with the prior distribution being the counterpart of classical regularization. However, the interplay between Bayesian inference and numerical analysis is much richer than providing an alternative way to regularize inverse problems, as demonstrated by the discussion of time dependent problems, iterative methods, and sparsity promoting priors in this book. The quantification of uncertainty in computed solutions and model predictions is another area where Bayesian scientific computing plays a critical role. This book demonstrates that Bayesian inference and scientific computing have much more in common than what one may expect, and gradually builds a natural interface between these two areas. The once esoteric idea of embedding scientific computing into a probabilistic framework, mostly along the lines of the Bayesian paradigm, has recently enjoyed wide popularity and found its way into numerous applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Bayesian Scientific Computing (Applied Mathematical Sciences, 215)
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Bayesian Scientific Computing
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Bayesian Scientific Computing
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Bayesian Scientific Computing
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031238265 ISBN 13: 9783031238260
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Bayesian Scientific Computing
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031238230 ISBN 13: 9783031238239
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Condition: New. 2023rd edition NO-PA16APR2015-KAP.
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Bayesian Scientific Computing
Language: English
Published by Springer International Publishing AG, CH, 2023
ISBN 10: 3031238230 ISBN 13: 9783031238239
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Taschenbuch. Condition: Neu. Bayesian Scientific Computing | Daniela Calvetti (u. a.) | Taschenbuch | Applied Mathematical Sciences | xvii | Englisch | 2024 | Springer | EAN 9783031238260 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Bayesian Scientific Computing
Language: English
Published by Springer-Nature New York Inc, 2023
ISBN 10: 3031238230 ISBN 13: 9783031238239
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Add to basketHardcover. Condition: Brand New. 303 pages. 9.25x6.25x1.00 inches. In Stock.
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Bayesian Scientific Computing (Hardcover)
Language: English
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031238230 ISBN 13: 9783031238239
Hardcover. Condition: new. Hardcover. The once esoteric idea of embedding scientific computing into a probabilistic framework, mostly along the lines of the Bayesian paradigm, has recently enjoyed wide popularity and found its way into numerous applications. This book provides an insiders view of how to combine two mature fields, scientific computing and Bayesian inference, into a powerful language leveraging the capabilities of both components for computational efficiency, high resolution power and uncertainty quantification ability. The impact of Bayesian scientific computing has been particularly significant in the area of computational inverse problems where the data are often scarce or of low quality, but some characteristics of the unknown solution may be available a priori. The ability to combine the flexibility of the Bayesian probabilistic framework with efficient numerical methods has contributed to the popularity of Bayesian inversion, with the prior distribution being the counterpart of classical regularization. However, the interplay between Bayesian inference and numerical analysis is much richer than providing an alternative way to regularize inverse problems, as demonstrated by the discussion of time dependent problems, iterative methods, and sparsity promoting priors in this book. The quantification of uncertainty in computed solutions and model predictions is another area where Bayesian scientific computing plays a critical role. This book demonstrates that Bayesian inference and scientific computing have much more in common than what one may expect, and gradually builds a natural interface between these two areas. The once esoteric idea of embedding scientific computing into a probabilistic framework, mostly along the lines of the Bayesian paradigm, has recently enjoyed wide popularity and found its way into numerous applications. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Bayesian Scientific Computing
Language: English
Published by Springer International Publishing AG, CH, 2023
ISBN 10: 3031238230 ISBN 13: 9783031238239
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Bayesian Scientific Computing
Language: English
Published by Springer Nature B.V., 2023
ISBN 10: 3031238257 ISBN 13: 9783031238253
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Bayesian Scientific Computing
Language: English
Published by Springer Nature B.V., 2023
ISBN 10: 3031238257 ISBN 13: 9783031238253
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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An Introduction to Bayesian Scientific Computing
Book 1 of 9: Surveys and Tutorials in the Applied Mathematical SciencesLanguage: English
Published by Springer New York Nov 2007, 2007
ISBN 10: 0387733930 ISBN 13: 9780387733937
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book of nature, according to Galilei, is written in the language of mat- matics. The nature of mathematics is being exact, and its exactness is und- lined by the formalism used by mathematicians to write it. This formalism, characterized by theorems and proofs, and syncopated with occasional l- mas, remarks and corollaries, is so deeply ingrained that mathematicians feel uncomfortable when the pattern is broken, to the point of giving the - pression that the attitude of mathematicians towards the way mathematics should be written is almost moralistic. There is a de nition often quoted, 'A mathematician is a person who proves theorems', and a similar, more alchemistic one, credited to Paul Erd os, but more likely going back to Alfr ed R enyi,statingthat'Amathematicianisamachinethattransformsco eeinto 1 theorems '. Therefore it seems to be the form, not the content, that char- terizes mathematics, similarly to what happens in any formal moralistic code wherein form takes precedence over content. This book is deliberately written in a very di erent manner, without a single theorem or proof. Since morality has its subjective component, to pa- phrase Manuel Vasquez Montalban, we could call it Ten Immoral Mathemat- 2 ical Recipes . Does the lack of theorems and proofs mean that the book is more inaccurate than traditional books of mathematics Or is it possibly just a sign of lack of co ee This is our rst open question. Exactness is an interesting concept. 202 pp. Englisch.
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An Introduction to Bayesian Scientific Computing: Ten Lectures on Subjective Computing
Book 1 of 9: Surveys and Tutorials in the Applied Mathematical SciencesLanguage: English
Published by Springer-Verlag New York Inc., 2007
ISBN 10: 0387733930 ISBN 13: 9780387733937
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
