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Like New Condition 342 Pages 2022 Hardback thru CRC Press 6.25x9.5x.75 inches. ISBN 0367470055 Synopsis "Fully updated throughout and with several new chapters, this second edition ofIntroduction to Inverse Problems in Imaging guides advanced undergraduate and graduate students in physics, computer science, mathematics and engineering through the principles of linear inverse problems, in addition to methods of their approximate solution and their practical applications in imaging.This second edition contains new chapters on edge-preserving and sparsity-enforcing regularization in addition to maximum likelihood methods and Bayesian regularization for Poisson data.The level of mathematical treatment is kept as low as possible to make the book suitable for a wide range of students from different backgrounds, with readers needing just a rudimentary understanding of analysis, geometry, linear algebra, probability theory, and Fourier analysis..." 64-05-19-25-2400