Application of the Regularization Method

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Focusing on ill-posed problems, the book explores their implications in sampling, Fourier transform computation, and sample restoration using low pass filters. It introduces regularization methods to address these challenges, presenting solutions through weight functions rather than traditional Tikhonov regularization. The text includes proofs and numerical results to support the proposed approaches, making it a valuable resource for understanding and solving complex mathematical issues in this field.