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A Taste of Inverse Problems Brian McCuskey he published ferociouslyInverse 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
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