TY  - GEN
AU  - Hanke, Martin.
TI  - Taste of inverse problems: basic theory and examples
SN  -  9781611974935
U1  - 515.357 
PY  - 2017///
CY  - Philadelphia
PB  - SIAM
KW  - Ill-posed problems
KW  - Regularization methods
KW  - Iterative methods
KW  - Discrepancy principle
KW  - Inverse source problems
N1  - Includes Bibliography and index
N2  - 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
ER  -