Taste of inverse problems: basic theory and examples

By:

Hanke, Martin

Publication details: SIAM, 2017. Philadelphia:Description: viii,162p. 25cmISBN:

9781611974935

Subject(s):

DDC classification:

515.357 HAN

Summary: 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

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	IIT Gandhinagar General Stacks	General	515.357 HAN (Browse shelf(Opens below))	1	Available		031016

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Previous	515.357 AST Parameter estimation and inverse problems, 2nd ed.	515.357 BEL Carleman estimates and applications to inverse problems for hyperbolic systems	515.357 HAN Discrete inverse problems: insight and algorithms	515.357 HAN Taste of inverse problems: basic theory and examples	515.357 HAS Introduction to inverse problems for differential equations	515.357 KIR Introduction to the mathematical theory of inverse problems	515.357 MOU Introduction to inverse problems with applications	Next

Includes Bibliography and index

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

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