A Taste of Inverse Problems

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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. This volume discusses state-of-the-art inverse problems theory, focusing on numerically relevant aspects, and presents diverse real-world applications, important test cases, and possible pitfalls.