Taste of inverse problems: basic theory and examples
Hanke, Martin.
Taste of inverse problems: basic theory and examples - Philadelphia: SIAM, 2017. - viii,162p. 25cm.
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
9781611974935
Ill-posed problems
Regularization methods
Iterative methods
Discrepancy principle
Inverse source problems
515.357 / HAN
Taste of inverse problems: basic theory and examples - Philadelphia: SIAM, 2017. - viii,162p. 25cm.
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
9781611974935
Ill-posed problems
Regularization methods
Iterative methods
Discrepancy principle
Inverse source problems
515.357 / HAN