Inverse problems need to be solved in order to properly interpret
indirect measurements. Often, inverse problems are ill-posed and
sensitive to data errors. Therefore one has to incorporate some
sort of regularization to reconstruct significant information from
the given data. This book presents the main achievements that have
emerged in regularization theory over the past 50 years, focusing
on linear ill-posed problems and the development of methods that
can be applied to them. Some of this material has previously
appeared only in journal articles. A Taste of Inverse Problems:
Basic Theory and Examples rigorously discusses state-of-the-art
inverse problems theory, focusing on numerically relevant aspects
and omitting subordinate generalizations; presents diverse
real-world applications, important test cases, and possible
pitfalls; and treats these applications with the same rigor and
depth as the theory.
General
Imprint: |
Society For Industrial & Applied Mathematics,U.S.
|
Country of origin: |
United States |
Release date: |
August 2017 |
Authors: |
Martin Hanke
|
Dimensions: |
229 x 152 x 18mm (L x W x T) |
Format: |
Paperback
|
Pages: |
162 |
ISBN-13: |
978-1-61197-493-5 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Numerical analysis
|
LSN: |
1-61197-493-3 |
Barcode: |
9781611974935 |
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