Iterative Regularization Methods for Nonlinear Ill-Posed Problems
by Barbara Kaltenbacher, Andreas Neubauer and Otmar Scherzer
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Fulfillment optionsIterative Regularization Methods for Nonlinear Ill-Posed Problems
Nonlinear inverse problems appear in many applications, and typically they lead to mathematical models that are ill-posed, i.e., they are unstable under data perturbations. Those problems require a regularization, i.e., a special numerical treatment. This book presents regularization schemes which are based on iteration methods, e.g., nonlinear Landweber iteration, level set methods, multilevel methods and Newton type methods.
The book, Iterative Regularization Methods for Nonlinear Ill-Posed Problems [Bulk, Wholesale, Quantity] ISBN#9783110204209 in Hardcover by Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- De Gruyter
- Authors
- Barbara Kaltenbacher, Andreas Neubauer, Otmar Scherzer
- Format
- Hardcover
- Published
- May 20, 2008
- ISBN-13
- 9783110204209
- ISBN-10
- 3110204207
- Pages
- 202
Iterative Regularization Methods for Nonlinear Ill-Posed Problems in bulk: pricing
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| Copies | Price per copy | You save |
|---|---|---|
| 25 – 99 | $221.20 | 21% off list |
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| 500 – 999 | $201.60 | 28% off list |
| 1,000+ | $196.00 | 30% off list |
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