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The monograph lays out the mathematical basis of the approach used to reformulate a minimization problem as a min-max problem. With the prerequisites covered, including multiple illustrations of the formulations for convex and non-convex functions, this work serves as a guide for developing MM4MM-based algorithms for solving non-convex optimization problems in various areas of signal processing.As special cases, the majorization-minimization technique is discussed to solve min-max problems encountered in signal processing applications and min-max problems formulated using the Lagrangian.
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