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Fundamentals of data regularization

Theoretical fundamentals of this work are introduced in Chapter [*]. I pose data regularization as an optimization problem and trace its statistical roots. The optimization objective consists of two parts: fitting the observed data with the forward modeling operator and ``styling'' the model with an appropriately chosen regularization operator.

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