Non-Fiction Books:

Low-Rank Semidefinite Programming

Theory and Applications
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$216.99
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Description

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.
Release date Australia
August 4th, 2016
Audience
  • Postgraduate, Research & Scholarly
Pages
180
Dimensions
156x234x10
ISBN-13
9781680831368
Product ID
25846756

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