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Low-Rank Semidefinite Programming - Theory and Applications (Paperback) Loot Price: R2,412

Discovery Miles 24 120

Repayment Terms: R226 pm x 12*

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Low-Rank Semidefinite Programming - Theory and Applications (Paperback): Alex Lemon, Anthony Man-Cho So, Yinyu Ye

Low-Rank Semidefinite Programming - Theory and Applications (Paperback)

Alex Lemon, Anthony Man-Cho So, Yinyu Ye

Series: Foundations and Trends (R) in Optimization

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Loot Price R2,412 Discovery Miles 24 120 | Repayment Terms: R226 pm x 12*

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Finding low-rank solutions of semidefinite programs is important in many applications. For example, semidefinite programs that arise as relaxations of polynomial optimization problems are exact relaxations when the semidefinite program has a rank-1 solution. Unfortunately, computing a minimum-rank solution of a semidefinite program is an NP-hard problem. This monograph reviews the theory of low-rank semidefinite programming, presenting theorems that guarantee the existence of a low-rank solution, heuristics for computing low-rank solutions, and algorithms for finding low-rank approximate solutions. It then presents applications of the theory to trust-region problems and signal processing.

General

Imprint:	Now Publishers Inc
Country of origin:	United States
Series:	Foundations and Trends (R) in Optimization
Release date:	August 2016
First published:	2016
Authors:	Alex Lemon • Anthony Man-Cho So • Yinyu Ye
Dimensions:	234 x 156 x 10mm (L x W x T)
Format:	Paperback
Pages:	180
ISBN-13:	978-1-68083-136-8
Categories:	Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Promotions
LSN:	1-68083-136-4
Barcode:	9781680831368