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Iterative Regularization Methods for Nonlinear Ill-Posed Problems (English, Barbara Kaltenbacher | Andreas Neubauer | Otmar Scherzer)
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Specifications
| Publisher | de Gruyter |
| Language | English |
| ISBN-13 | 9783110204209 |
| ISBN-10 | 3110204207 |
| Author | Barbara Kaltenbacher | Andreas Neubauer | Otmar Scherzer |
Product Description
About the Book
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.
ISBN: 9783110204209
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Iterative Regularization Methods for Nonlinear Ill-Posed Problems
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in de Gruyter
Who Should Read This
Students and professionals interested in de Gruyter, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Iterative Regularization Methods for Nonlinear Ill-Posed Problems is available in English on GlowMirror.
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Iterative Regularization Methods for Nonlinear Ill-Posed Problems is authored by Barbara Kaltenbacher | Andreas Neubauer | Otmar Scherzer.
Who published Iterative Regularization Methods for Nonlinear Ill-Posed Problems?
Iterative Regularization Methods for Nonlinear Ill-Posed Problems is published by de Gruyter.
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At an average reading speed of 250 words per minute, reading Iterative Regularization Methods for Nonlinear Ill-Posed Problems takes a few hours to a few days depending on reading pace.
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About the Book
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 regularizatio...
Is Iterative Regularization Methods for Nonlinear Ill-Posed Problems suitable for beginners?
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