Optimization of Polynomials in Non-Commuting Variables / / by Sabine Burgdorf, Igor Klep, Janez Povh

• Autore: Burgdorf Sabine
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
• Edizione: 1st ed. 2016.
• Descrizione fisica: 1 online resource (XV, 104 p. 2 illus. in color.)
• Disciplina: 519.3
• Soggetto topico: Geometry, Algebraic; Quantum computers; Operations research; Management science; Computer software; System theory; Algebraic Geometry; Quantum Computing; Operations Research, Management Science; Mathematical Software; Systems Theory, Control
• Persona (resp. second.): KlepIgor; PovhJanez
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Sommario/riassunto: 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.
• Titolo autorizzato: Optimization of Polynomials in Non-Commuting Variables
• ISBN: 3-319-33338-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910254085403321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Mathematics, . 2191-8198