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. $29.14, good condition, Sold by BuenaWave rated 5.0 out of 5 stars, ships from Oklahoma City, OK, UNITED STATES, published 2016 by SIAM-Society for Industrial and Applied Mathematics.
Edition:
2016, Society for Industrial & Applied Mathematics,U.S.
Publisher:
Society for Industrial & Applied Mathematics,U.S.
Published:
2016
Language:
English
Alibris ID:
18551588684
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Add this copy of MM Optimization Algorithms to cart. $80.41, like new condition, Sold by GreatBookPricesUK5 rated 5.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2016 by Society for Industrial & Applied Mathematics,U.S..
Edition:
2016, Society for Industrial & Applied Mathematics,U.S.
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Society for Industrial & Applied Mathematics,U.S.
Published:
2016
Language:
English
Alibris ID:
18949550595
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2016, Society for Industrial & Applied Mathematics,U.S.
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Society for Industrial & Applied Mathematics,U.S.
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7/30/2016 12: 00: 00 AM
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Add this copy of MM Optimization Algorithms to cart. $89.46, like 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:
18949213900
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Fine. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Mm Optimization Algorithms to cart. $101.99, new condition, Sold by Kennys.ie rated 5.0 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.
Add this copy of MM Optimization Algorithms to cart. $104.09, new condition, Sold by Booksplease rated 4.0 out of 5 stars, ships from Southport, MERSEYSIDE, UNITED KINGDOM, published 2016 by Society for Industrial & Applied Mathematics,U.S..
Edition:
2016, Society for Industrial & Applied Mathematics,U.S.
