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Inverse problems arise in a number of important practical applications, ranging from biomedical imaging to seismic prospecting. This book provides the reader with a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems. It also addresses specialized topics like image reconstruction, parameter identification, total variation methods, nonnegativity constraints, and regularization parameter selection methods. Because inverse problems typically involve the estimation of certain quantities based on indirect measurements, the estimation process is often ill-posed. Regularization methods, which have been developed to deal with this ill-posedness, are carefully explained in the early chapters of Computational Methods for Inverse Problems. The book also integrates mathematical and statistical theory with applications and practical computational methods, including topics like maximum likelihood estimation and Bayesian estimation.
Book Description: Provides the reader with a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems. It also addresses specialized topics like image reconstruction, parameter identification, total variation methods, nonnegativity constraints, and regularization parameter selection methods.
Title: Computational Methods for Inverse Problems
Publisher: Society for Industrial and Applied Mathematics
Publication Date: 1987
Binding: Soft cover
Condition: New
Seller: Sizzler Texts, SAN GABRIEL, CA, U.S.A.
Soft cover. Condition: New. Dust Jacket Condition: New. 1st Edition. **International edition** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. Seller Inventory # ABE-8326159389
Seller: Aideo Books, San Marino, CA, U.S.A.
Trade paperback. Condition: New in new dust jacket. First edition. ***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. Glued binding. 199 p. Audience: General/trade. Seller Inventory # K1160000240
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. 1987. Paperback. . . . . . Seller Inventory # V9780898715507
Seller: moluna, Greven, Germany
Condition: New. InhaltsverzeichnisrnrnPreface 1. Introduction 2. Analytical Tools 3. Numerical Optimization Tools 4. Statistical Estimation Theory 5. Image Deblurring 6. Parameter Identification 7. Regularization Parameter Selection Methods 8. Total Var. Seller Inventory # 5982587
Seller: GoldBooks, Denver, CO, U.S.A.
Condition: new. Seller Inventory # 46D53_50_0898715504
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback. Condition: New. New copy - Usually dispatched within 4 working days. Seller Inventory # B9780898715507
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FW-9780898715507
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. Inverse problems arise in a number of important practical applications, ranging from biomedical imaging to seismic prospecting. This book provides the reader with a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems. It also addresses specialized topics like image reconstruction, parameter identification, total variation methods, nonnegativity constraints, and regularization parameter selection methods. Because inverse problems typically involve the estimation of certain quantities based on indirect measurements, the estimation process is often ill-posed. Regularization methods, which have been developed to deal with this ill-posedness, are carefully explained in the early chapters of Computational Methods for Inverse Problems. The book also integrates mathematical and statistical theory with applications and practical computational methods, including topics like maximum likelihood estimation and Bayesian estimation. Provides the reader with a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems. It also addresses specialized topics like image reconstruction, parameter identification, total variation methods, nonnegativity constraints, and regularization parameter selection methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780898715507
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. Inverse problems arise in a number of important practical applications, ranging from biomedical imaging to seismic prospecting. This book provides the reader with a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems. It also addresses specialized topics like image reconstruction, parameter identification, total variation methods, nonnegativity constraints, and regularization parameter selection methods. Because inverse problems typically involve the estimation of certain quantities based on indirect measurements, the estimation process is often ill-posed. Regularization methods, which have been developed to deal with this ill-posedness, are carefully explained in the early chapters of Computational Methods for Inverse Problems. The book also integrates mathematical and statistical theory with applications and practical computational methods, including topics like maximum likelihood estimation and Bayesian estimation. Seller Inventory # LU-9780898715507
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Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 183 pages. 10.00x7.00x0.55 inches. In Stock. Seller Inventory # __0898715504
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