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MM Optimization Algorithms offers an overview of the MM principle, a device for deriving optimization algorithms satisfying the ascent or descent property. These algorithms can separate the variables of a problem, avoid large matrix inversions, linearize a problem, restore symme…
Universally acknowledged as the classic text in its field, this volume covers order statistics and their exceedances; exact distribution of extremes; analytical study of extremes; the 1st asymptotic distribution; uses of the 1st, 2nd, and 3rd asymptotes; and the range summary. 1…
