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Published by Springer International Publishing AG, 2016
ISBN 10: 3319333364 ISBN 13: 9783319333366
Language: English
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Add to basketCondition: New. Series: SpringerBriefs in Mathematics. Num Pages: 119 pages, 2 colour illustrations, 10 colour tables, biography. BIC Classification: GPFC; PBMW; UFM; UYA. Category: (G) General (US: Trade). Dimension: 235 x 155 x 7. Weight in Grams: 197. . 2016. Paperback. . . . .
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Published by Springer International Publishing, Springer International Publishing Jul 2016, 2016
ISBN 10: 3319333364 ISBN 13: 9783319333366
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book presents recent results on positivity and optimization of polynomials in non-commuting variables. Researchers in non-commutative algebraic geometry, control theory, system engineering, optimization, quantum physics and information science will find the unified notation and mixture of algebraic geometry and mathematical programming useful. Theoretical results are matched with algorithmic considerations; several examples and information on how to use NCSOStools open source package to obtain the results provided. Results are presented on detecting the eigenvalue and trace positivity of polynomials in non-commuting variables using Newton chip method and Newton cyclic chip method, relaxations for constrained and unconstrained optimization problems, semidefinite programming formulations of the relaxations and finite convergence of the hierarchies of these relaxations, and the practical efficiency of algorithms.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 120 pp. Englisch.
Published by Springer International Publishing, 2016
ISBN 10: 3319333364 ISBN 13: 9783319333366
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent results on positivity and optimization of polynomials in non-commuting variables. Researchers in non-commutative algebraic geometry, control theory, system engineering, optimization, quantum physics and information science will find the unified notation and mixture of algebraic geometry and mathematical programming useful. Theoretical results are matched with algorithmic considerations; several examples and information on how to use NCSOStools open source package to obtain the results provided. Results are presented on detecting the eigenvalue and trace positivity of polynomials in non-commuting variables using Newton chip method and Newton cyclic chip method, relaxations for constrained and unconstrained optimization problems, semidefinite programming formulations of the relaxations and finite convergence of the hierarchies of these relaxations, and the practical efficiency of algorithms.
Published by Springer International Publishing AG, 2016
ISBN 10: 3319333364 ISBN 13: 9783319333366
Language: English
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Condition: New. Series: SpringerBriefs in Mathematics. Num Pages: 119 pages, 2 colour illustrations, 10 colour tables, biography. BIC Classification: GPFC; PBMW; UFM; UYA. Category: (G) General (US: Trade). Dimension: 235 x 155 x 7. Weight in Grams: 197. . 2016. Paperback. . . . . Books ship from the US and Ireland.
Published by Springer International Publishing Jul 2016, 2016
ISBN 10: 3319333364 ISBN 13: 9783319333366
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents recent results on positivity and optimization of polynomials in non-commuting variables. Researchers in non-commutative algebraic geometry, control theory, system engineering, optimization, quantum physics and information science will find the unified notation and mixture of algebraic geometry and mathematical programming useful. Theoretical results are matched with algorithmic considerations; several examples and information on how to use NCSOStools open source package to obtain the results provided. Results are presented on detecting the eigenvalue and trace positivity of polynomials in non-commuting variables using Newton chip method and Newton cyclic chip method, relaxations for constrained and unconstrained optimization problems, semidefinite programming formulations of the relaxations and finite convergence of the hierarchies of these relaxations, and the practical efficiency of algorithms. 120 pp. Englisch.
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Published by Springer International Publishing, 2016
ISBN 10: 3319333364 ISBN 13: 9783319333366
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on polynomial optimization problems in matrix unknownsIncludes fundamental material from algebra, functional analysis and mathematical optimization Provides instructions on using NCSOStools open source package to obtain illustrated .