- 5 Résultats
prix le plus bas: € 143,43, prix le plus élevé: € 278,05, prix moyen: € 178,02
1
Smooth Nonlinear Optimization in Rn - Rapcsák, Tamás
Commander
sur Achtung-Buecher.de
€ 278,05
Envoi: € 0,001
CommanderLien sponsorisé
Rapcsák, Tamás:

Smooth Nonlinear Optimization in Rn - edition reliée, livre de poche

1997, ISBN: 0792346807

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

Frais d'envoiVersandkostenfrei innerhalb der BRD. (EUR 0.00) MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien
2
Smooth Nonlinear Optimization in Rn  1997 - Rapcsak, Tamas
Commander
sur buchfreund.de
€ 149,35
Envoi: € 0,001
CommanderLien sponsorisé

Rapcsak, Tamas:

Smooth Nonlinear Optimization in Rn 1997 - livre d'occasion

1997, ISBN: 9780792346807

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

Frais d'envoiVersandkostenfrei innerhalb der BRD. (EUR 0.00) Buchpark GmbH, 14959 Trebbin
3
Smooth Nonlinear Optimization in Rn - Rapcsak, Tamas
Commander
sur booklooker.de
€ 162,90
Envoi: € 0,001
CommanderLien sponsorisé
Rapcsak, Tamas:
Smooth Nonlinear Optimization in Rn - livre d'occasion

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… Plus…

Frais d'envoiVersandkostenfrei. (EUR 0.00) Buchpark GmbH
4
Smooth Nonlinear Optimization in Rn  1997 - Tamas Rapcsak
Commander
sur buchfreund.de
€ 143,43
Envoi: € 0,001
CommanderLien sponsorisé
Tamas Rapcsak:
Smooth Nonlinear Optimization in Rn 1997 - livre d'occasion

1997, ISBN: 9780792346807

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

Frais d'envoiVersandkostenfrei innerhalb der BRD. (EUR 0.00) Buchpark GmbH, 14959 Trebbin
5
Smooth Nonlinear Optimization in Rn - Rapcsak, Tamas
Commander
sur booklooker.de
€ 156,37
Envoi: € 0,001
CommanderLien sponsorisé
Rapcsak, Tamas:
Smooth Nonlinear Optimization in Rn - livre d'occasion

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… Plus…

Frais d'envoiVersandkostenfrei, Versand nach Deutschland. (EUR 0.00) Buchpark GmbH

1Comme certaines plateformes ne transmettent pas les conditions d'expédition et que celles-ci peuvent dépendre du pays de livraison, du prix d'achat, du poids et de la taille de l'article, d'une éventuelle adhésion de la plateforme, d'une livraison directe par la plateforme ou via un prestataire tiers (Marketplace), etc. il est possible que les frais de livraison indiqués par eurolivre ne correspondent pas à ceux de la plateforme qui propose l'article.

Données bibliographiques du meilleur livre correspondant

Détails sur le livre
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.

Informations détaillées sur le livre - Smooth Nonlinear Optimization in Rn (Nonconvex Optimization and Its Applications)


EAN (ISBN-13): 9780792346807
ISBN (ISBN-10): 0792346807
Version reliée
Date de parution: 1997
Editeur: Springer
396 Pages
Poids: 0,742 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2008-01-13T17:19:34+01:00 (Paris)
Page de détail modifiée en dernier sur 2024-02-11T12:02:38+01:00 (Paris)
ISBN/EAN: 9780792346807

ISBN - Autres types d'écriture:
0-7923-4680-7, 978-0-7923-4680-7
Autres types d'écriture et termes associés:
Auteur du livre: tamas
Titre du livre: smooth nonlinear optimization, superscript


Données de l'éditeur

Auteur: Tamás Rapcsák
Titre: Nonconvex Optimization and Its Applications; Smooth Nonlinear Optimization in Rn
Editeur: Springer; Springer US
376 Pages
Date de parution: 1997-08-31
New York; NY; US
Poids: 1,610 kg
Langue: Anglais
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.

< pour archiver...