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Smooth Nonlinear Optimization in Rn - Rapcsák, Tamás
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Rapcsák, Tamás:

Smooth Nonlinear Optimization in Rn - encuadernado, tapa blanda

1997, ISBN: 0792346807

1997 Gebundene Ausgabe Differenzialgeometrie, Geometrie / Differenzialgeometrie, Entscheidungstheorie, Operations Research, Unternehmensforschung, Optimierung, Diskrete Mathematik, Geom… Más…

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Rapcsak, Tamas:

Smooth Nonlinear Optimization in Rn 1997 - libro usado

1997, ISBN: 9780792346807

1997 Gepflegter, sauberer Zustand. Innen: Seiten eingerissen. 3030816/2 Versandkostenfreie Lieferung optimization,Optimality Conditions,algorithms,Optimization algorithms,sets,Optimizatio… Más…

Gastos de envío:Versandkostenfrei innerhalb der BRD. (EUR 0.00) Buchpark GmbH, 14959 Trebbin
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Rapcsak, Tamas:
Smooth Nonlinear Optimization in Rn - libro usado

1997

ISBN: 9780792346807

[PU: Springer US], Gepflegter, sauberer Zustand. Innen: Seiten eingerissen. 3030816/2, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 1997, Banküberweisung, Kreditkarte, PayPa… Más…

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Smooth Nonlinear Optimization in Rn  1997 - Tamas Rapcsak
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Tamas Rapcsak:
Smooth Nonlinear Optimization in Rn 1997 - libro usado

1997, ISBN: 9780792346807

1997 Gepflegter, sauberer Zustand. Innen: Seiten eingerissen. 3030816/2 Versandkostenfreie Lieferung optimization, Optimality, Conditions, algorithms, Optimization, sets, algorithm, lin… Más…

Gastos de envío:Versandkostenfrei innerhalb der BRD. (EUR 0.00) Buchpark GmbH, 14959 Trebbin
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Smooth Nonlinear Optimization in Rn - Rapcsak, Tamas
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Rapcsak, Tamas:
Smooth Nonlinear Optimization in Rn - libro usado

1997, ISBN: 9780792346807

[PU: Springer US], Gepflegter, sauberer Zustand. Innen: Seiten eingerissen. 3030816/2, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 1997, Banküberweisung, Kreditkarte, PayPa… Más…

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Detalles del libro
Smooth Nonlinear Optimization in Rn (Nonconvex Optimization and Its Applications)

This book is the first uniform, differential geometric approach to smooth nonlinear optimization. This advance allows the author to improve the sufficiency part of the Lagrange multiplier rule introduced in 1788 and to solve Fenchel's problem of level sets (1953) in the smooth case. Furthermore, this permits the author to replace convexity by geodesic convexity and apply it in complementarity systems, to study the nonlinear coordinate representations of smooth optimization problems, to describe the structure by tensors, to introduce a general framework for variable metric methods containing many basic nonlinear optimization algorithms, and - last but not least - to generate a class of polynomial interior point algorithms for linear optimization by a subclass of Riemannian metrics. Audience: The book is addressed to graduate students and researchers. The elementary notions necessary for understanding the material constitute part of the standard university curriculum.

Detalles del libro - Smooth Nonlinear Optimization in Rn (Nonconvex Optimization and Its Applications)


EAN (ISBN-13): 9780792346807
ISBN (ISBN-10): 0792346807
Tapa dura
Año de publicación: 1997
Editorial: Springer
396 Páginas
Peso: 0,742 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2008-01-13T17:19:34+01:00 (Madrid)
Página de detalles modificada por última vez el 2024-02-11T12:02:38+01:00 (Madrid)
ISBN/EAN: 0792346807

ISBN - escritura alterna:
0-7923-4680-7, 978-0-7923-4680-7
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: tamas
Título del libro: smooth nonlinear optimization, superscript


Datos del la editorial

Autor: Tamás Rapcsák
Título: Nonconvex Optimization and Its Applications; Smooth Nonlinear Optimization in Rn
Editorial: Springer; Springer US
376 Páginas
Año de publicación: 1997-08-31
New York; NY; US
Peso: 1,610 kg
Idioma: Inglés
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD
XIV, 376 p.

BB; Optimization; Hardcover, Softcover / Mathematik/Sonstiges; Optimierung; Verstehen; Optimality Conditions; Optimization algorithm; Optimization algorithms; algorithms; linear optimization; nonlinear optimization; optimization; sets; Software Engineering/Programming and Operating Systems; Probability Theory and Stochastic Processes; Operations Research/Decision Theory; Differential Geometry; Convex and Discrete Geometry; Optimization; Software Engineering; Probability Theory; Operations Research and Decision Theory; Differential Geometry; Convex and Discrete Geometry; Software Engineering; Wahrscheinlichkeitsrechnung und Statistik; Stochastik; Unternehmensforschung; Management: Entscheidungstheorie; Differentielle und Riemannsche Geometrie; Geometrie; Diskrete Mathematik; BC; EA

Preface. 1. Introduction. 2. Nonlinear Optimization Problems. 3. Optimality Conditions. 4. Geometric Background of Optimality Conditions. 5. Deduction of the Classical Optimality Conditions in Nonlinear Optimization. 6. Geodesic Convex Functions. 7. On the Connectedness of the Solution Set to Complementarity Systems. 8. Nonlinear Coordinate Representations. 9. Tensors in Optimization. 10. Geodesic Convexity on R°n+ 11. Variable Metric Methods Along Geodesics. 12. Polynomial Variable Metric Methods for Linear Optimization. 13. Special Function Classes. 14. Fenchel's Unsolved Problem of Level Sets. 15. An Improvement of the Lagrange Multiplier Rule for Smooth Optimization Problems. A. On the Connection Between Mechanical Force Equilibrium and Nonlinear Optimization. B. Topology. C. Riemannian Geometry. References. Author Index. Subject Index. Notations.

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