Language: English
Published by SIAM-Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
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Condition: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!
Language: English
Published by SIAM-Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Language: English
Published by SIAM-Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Society for Industrial and Applied Mathematics,U.S. (30 July 2016), 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New.
Language: English
Published by SIAM-Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., New York, 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. 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. Presents the first extended treatment of MM algorithms, which are ideal for high-dimensional optimization problems in data mining, imaging, and genomics. The author derives numerous algorithms from a broad diversity of application areas, with a particular emphasis on statistics, biology, and data mining. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by MP-SIA SIAM - Society for Industrial and Applied M, 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. 2016. Hardcover. . . . . .
Language: English
Published by SIAM-Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by SIAM-Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Language: English
Published by SIAM-Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
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Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
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Condition: New. 2016. Hardcover. . . . . . Books ship from the US and Ireland.
Language: English
Published by SIAM-Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
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Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
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Language: English
Published by Society for Industrial and Applied Mathematics,U.S. (30 July 2016), 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
Seller: Rarewaves.com UK, London, United Kingdom
Hardback. Condition: New.
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., New York, 2016
ISBN 10: 1611974399 ISBN 13: 9781611974393
Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: new. Hardcover. 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. Presents the first extended treatment of MM algorithms, which are ideal for high-dimensional optimization problems in data mining, imaging, and genomics. The author derives numerous algorithms from a broad diversity of application areas, with a particular emphasis on statistics, biology, and data mining. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.