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Low-Rank Semidefinite Programming - Theory and Applications (Paperback) Loot Price: R2,353
Discovery Miles 23 530
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 R2,353 Discovery Miles 23 530 | Repayment Terms: R221 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
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LSN: 1-68083-136-4
Barcode: 9781680831368

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