2013, ISBN: 1461346916

It was in the middle of the 1980s, when the seminal paper by Kar markar opened a new epoch in nonlinear optimization. This unusual fact dramatically changed the style and direc tions of t… Mehr…

It was in the middle of the 1980s, when the seminal paper by Kar markar opened a new epoch in nonlinear optimization. This unusual fact dramatically changed the style and direc tions of the research in nonlinear optimization. Introductory Lectures on Convex Optimization: A Basic CourseEinbandPaperback / SoftbackAutor(en)Nesterov, YuriiVerlagSpringer, BerlinAuflageSoftcover reprint of the original 1st ed. 2004Ausgabe2013Formatangaben236 pages; Literaturverz.; 237 x 156 x 11 mmSpracheengISBN1461346916ISBN-13 / EAN9781461346913Reihe / SerieApplied Optimization 87Schlagwortegraphs, optimization, complexity theory, mathematical programming, complexityPreisEUR 58,84 (inkl. MwSt.)BITTE BEACHTEN: Artikel in hervorragendem neuwertigem Zustand, aus Kundenrücksendung. VORSICHT: AUFLAGE /EDITION KANN ABWEICHEN. In der Regel liefern wir die neueste, aktuelle Auflage. Bitte gegebenenfalls vor Bestellung anfragen. Vielen Dank.The first elementary exposition of core ideas of complexity theory for convex optimization, this book explores optimal methods and lower complexity bounds for smooth and non-smooth convex optimization. Also covers polynomial-time interior-point methods.It was in the middle of the 1980s, when the seminal paper by Kar markar opened a new epoch in nonlinear optimization. The importance of this paper, containing a new polynomial-time algorithm for linear op timization problems, was not only in its complexity bound. At that time, the most surprising feature of this algorithm was that the theoretical pre diction of its high efficiency was supported by excellent computational results. This unusual fact dramatically changed the style and direc tions of the research in nonlinear optimization. Thereafter it became more and more common that the new methods were provided with a complexity analysis, which was considered a better justification of their efficiency than computational experiments. In a new rapidly develop ing field, which got the name "polynomial-time interior-point methods", such a justification was obligatory. Afteralmost fifteen years of intensive research, the main results of this development started to appear in monographs [12, 14, 16, 17, 18, 19]. Approximately at that time the author was asked to prepare a new course on nonlinear optimization for graduate students. The idea was to create a course which would reflect the new developments in the field. Actually, this was a major challenge. At the time only the theory of interior-point methods for linear optimization was polished enough to be explained to students. The general theory of self-concordant functions had appeared in print only once in the form of research monograph [12].Hinweis: Auflage und/oder Erscheinungsjahr können im Buchkatalog von eBay unter Umständen von unseren Angeboten abweichen. Dies gilt insbesondere wenn eine ISBN durch den Verlag doppelt vergeben wurde. Im Einzelfall bzw. bei Bedarf bitte VOR Bestellung erfragen.Angaben zur Versandzeit stammen aus Standardeinstellung von ebay; Wir verschicken tagesaktuell; Sendungen unter 1 kg werden als Waren-/Büchersendung (Laufzeiten sind leider sehr unterschiedlich zwischen 2 und 14 Werktagen) verschickt, ab 1 Kg erfolgt der Versand über DPD.Falls Sie eine Bestellung dringend bzw. zu einem bestimmten Zeitpunkt benötigen, wählen Sie bitte immer die Versandart PAKETVERSAND (DPD Classic), ansonsten können wir die Lieferzeiten nicht garantieren.Artikel eingestellt mit dem w+h GmbH eBay-ServiceDaten- und Bilderhosting mit freundlicher Unterstützung von Buchfreund. (2022-05-25), Festpreisangebot, [LT: FixedPrice], EAN: 9781461346913, Publikationsname: Introductory Lectures on Convex Optimization A Basic Course 2534, Sprache: Englisch, Format: 236 pages; Literaturverz.; 237 x 156 x 11 mm, Produktart: Paperback / Softback, Anzahl der Seiten: 236 pages, Gewicht: 403g, Fach: Informatik/EDV, 2013<