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 symmetry. Deal with equality and inequality constraints gracefully. Turn a non-differentiable problem into a smooth problem. The author: Presents the first extended treatment of MM algorithms, which are ideal for high-dimensional optimization problems in data mining, imaging, ...
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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 symmetry. Deal with equality and inequality constraints gracefully. Turn a non-differentiable problem into a smooth problem. The author: Presents the first extended treatment of MM algorithms, which are ideal for high-dimensional optimization problems in data mining, imaging, and genomics. Derives numerous algorithms from a broad diversity of application areas, with a particular emphasis on statistics, biology, and data mining. Summarizes a large amount of literature that has not reached book form before.
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Add this copy of Mm Optimization Algorithms to cart. $82.94, new condition, Sold by Books2anywhere rated 5.0 out of 5 stars, ships from Fairford, GLOUCESTERSHIRE, UNITED KINGDOM, published 2016 by MP-SIA SIAM-Society for Industrial and Applied M.
Edition:
2016, Society for Industrial & Applied Mathematics,U.S.
Publisher:
Society for Industrial & Applied Mathematics,U.S.
Published:
7/30/2016 12: 00: 00 AM
Language:
English
Alibris ID:
18780570509
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Add this copy of Mm Optimization Algorithms to cart. $101.99, new condition, Sold by Kennys.ie rated 4.0 out of 5 stars, ships from Galway, IRELAND, published 2016 by Society for Industrial & Applied Mathematics,U.S..
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2016, Society for Industrial & Applied Mathematics,U.S.
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2016, Society for Industrial & Applied Mathematics,U.S.
Add this copy of MM Optimization Algorithms to cart. $119.26, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2016 by Society for Industrial & Applied Mathematics,U.S..
Edition:
2016, Society for Industrial & Applied Mathematics,U.S.
Publisher:
Society for Industrial & Applied Mathematics,U.S.
Published:
2016
Language:
English
Alibris ID:
18974400418
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Standard Shipping: $4.81
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