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Add to basketCondition: New. pp. 336 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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paperback. Condition: Very 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 limited writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Add to basketCondition: Like New. Used - Like New. Book is new and unread but may have minor shelf wear. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Published by Springer-Verlag New York Inc., US, 2008
ISBN 10: 0387309314 ISBN 13: 9780387309316
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: New. 2009 ed. This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Many numerical examples accompany the theory throughout the text. It is geared towards graduate students and researchers in applied mathematics. Researchers in the area of imaging science will also find this book appealing. It can serve as a main text in courses in image processing or as a supplemental text for courses on regularization and inverse problems at the graduate level.
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Add to basketPaperback. Condition: Brand New. 322 pages. 9.00x6.00x0.76 inches. In Stock.
Published by Springer New York, Springer US, 2010
ISBN 10: 1441921664 ISBN 13: 9781441921666
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Key Features:- Introduces variational methods with motivation from the deterministic, geometric, and stochastic point of view- Bridges the gap between regularization theory in image analysis and in inverse problems- Presents case examples in imaging to illustrate the use of variational methods e.g. denoising, thermoacoustics, computerized tomography- Discusses link between non-convex calculus of variations, morphological analysis, and level set methods- Analyses variational methods containing classical analysis of variational methods, modern analysis such as G-norm properties, and non-convex calculus of variations- Uses numerical examples to enhance the theoryThis book is geared towards graduate students and researchers in applied mathematics. It can serve as a main text for graduate courses in image processing and inverse problems or as a supplemental text for courses on regularization. Researchers and computer scientists in the area of imaging science will also find this book useful.
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Key Features:- Introduces variational methods with motivation from the deterministic, geometric, and stochastic point of view- Bridges the gap between regularization theory in image analysis and in inverse problems- Presents case examples in imaging to illustrate the use of variational methods e.g. denoising, thermoacoustics, computerized tomography- Discusses link between non-convex calculus of variations, morphological analysis, and level set methods- Analyses variational methods containing classical analysis of variational methods, modern analysis such as G-norm properties, and non-convex calculus of variations- Uses numerical examples to enhance the theoryThis book is geared towards graduate students and researchers in applied mathematics. It can serve as a main text for graduate courses in image processing and inverse problems or as a supplemental text for courses on regularization. Researchers and computer scientists in the area of imaging science will also find this book useful.
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Add to basketCondition: New. Introduces variational methods with motivation from the deterministic, geometric and stochastic point of viewPresents case examples in imaging to illustrate the use of variational methods e.g. denoising, thermoacoustics, computerized tomography.
Published by Springer New York, Springer US Nov 2010, 2010
ISBN 10: 1441921664 ISBN 13: 9781441921666
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Many numerical examples accompany the theory throughout the text. It is geared towards graduate students and researchers in applied mathematics. Researchers in the area of imaging science will also find this book appealing. It can serve as a main text in courses in image processing or as a supplemental text for courses on regularization and inverse problems at the graduate level.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch.
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Add to basketPaperback. Condition: Like New. Like New. book.
Published by Springer-Verlag New York Inc., US, 2008
ISBN 10: 0387309314 ISBN 13: 9780387309316
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
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Add to basketHardback. Condition: New. 2009 ed. This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Many numerical examples accompany the theory throughout the text. It is geared towards graduate students and researchers in applied mathematics. Researchers in the area of imaging science will also find this book appealing. It can serve as a main text in courses in image processing or as a supplemental text for courses on regularization and inverse problems at the graduate level.
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Add to basketHardcover. Condition: Brand New. 320 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.
Published by SPRINGER NATURE Okt 2008, 2008
ISBN 10: 0387309314 ISBN 13: 9780387309316
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Many numerical examples accompany the theory throughout the text.It is geared towards graduate students and researchers in applied mathematics. Researchers in the area of imaging science will also find this book appealing. It canserveas a main text in courses in image processing or as a supplemental text for courses on regularization and inverse problems at the graduate level. 320 pp. Englisch.
Published by Springer New York Nov 2010, 2010
ISBN 10: 1441921664 ISBN 13: 9781441921666
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
US$ 64.90
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Many numerical examples accompany the theory throughout the text.It is geared towards graduate students and researchers in applied mathematics. Researchers in the area of imaging science will also find this book appealing. It canserveas a main text in courses in image processing or as a supplemental text for courses on regularization and inverse problems at the graduate level. 336 pp. Englisch.