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100%: Yurii Nesterov: Lectures on Convex Optimization (ISBN: 9783319915784) 2010, Springer Nature, in Deutsch, auch als eBook.Nur diese Ausgabe anzeigen…
100%: Nesterov, Yurii: Lectures on Convex Optimization (ISBN: 9783319915777) 2010, in Deutsch, Broschiert.Nur diese Ausgabe anzeigen…
82%: Yurii Nesterov: Introductory Lectures on Convex Optimization (ISBN: 9781441988539) Springer, Deutschland, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
69%: Nesterov, Yurii / Nesterov, Iu E. / Nesterov, Y.: Introductory Lectures on Convex Optimization: A Basic Course (Applied Optimization) (ISBN: 9781402075537) 2003, 2004. Ausgabe, in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
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Introductory Lectures on Convex Optimization: A Basic Course (Hardback) (2003)
EN HC NW RPISBN: 9781402075537 bzw. 1402075537, in Englisch, Kluwer Academic Publishers, United States, gebundenes Buch, neu, Nachdruck.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Versandkostenfrei.
Von Händler/Antiquariat, The Book Depository [54837791], London, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.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].
Von Händler/Antiquariat, The Book Depository [54837791], London, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.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].
2
Introductory Lectures on Convex Optimization: A Basic Course (Applied Optimization) (2003)
EN HC NWISBN: 9781402075537 bzw. 1402075537, in Englisch, 236 Seiten, 2004. Ausgabe, Springer, gebundenes Buch, neu.
Neu ab: $100.95 (27 Angebote)
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Von Händler/Antiquariat, MoreBooksLessBucks.
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]. Hardcover, Ausgabe: 2004, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2003-12-31, Studio: Springer, Verkaufsrang: 1071840.
Von Händler/Antiquariat, MoreBooksLessBucks.
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]. Hardcover, Ausgabe: 2004, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2003-12-31, Studio: Springer, Verkaufsrang: 1071840.
3
Introductory Lectures on Convex Optimization: A Basic Course (Applied Optimization) (2003)
EN HC USISBN: 9781402075537 bzw. 1402075537, in Englisch, 236 Seiten, 2004. Ausgabe, Springer, gebundenes Buch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, tabletopart.
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]. Hardcover, Ausgabe: 2004, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2003-12-31, Studio: Springer, Verkaufsrang: 823755.
Von Händler/Antiquariat, tabletopart.
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]. Hardcover, Ausgabe: 2004, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2003-12-31, Studio: Springer, Verkaufsrang: 823755.
4
Symbolbild
Introductory Lectures on Convex Optimization: A Basic Course
EN HC NWISBN: 9781402075537 bzw. 1402075537, in Englisch, Kluwer Academic Publishers, gebundenes Buch, neu.
Von Händler/Antiquariat, THE SAINT BOOKSTORE [51194787], Southport, United Kingdom.
BRAND NEW PRINT ON DEMAND., Introductory Lectures on Convex Optimization: A Basic Course, Yurii Nesterov, 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].
BRAND NEW PRINT ON DEMAND., Introductory Lectures on Convex Optimization: A Basic Course, Yurii Nesterov, 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].
6
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Lectures on Convex Optimization
DE HC NWISBN: 9783319915777 bzw. 3319915770, in Deutsch, Springer-Verlag Gmbh, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Lectures on Convex Optimization
~DE NWISBN: 9783319915777 bzw. 3319915770, vermutlich in Deutsch, Springer / Springer International Publishing / Springer US / Springer, Berlin, neu.
Lieferung aus: Deutschland, Lieferzeit 1-3 Werktage, Versandkostenfrei innerhalb von Deutschland.
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Lectures on Convex Optimization (2010)
DE NWISBN: 9783319915777 bzw. 3319915770, in Deutsch, Springer Nature, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Lagernd.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Lectures on Convex Optimization (2010)
DE NW EBISBN: 9783319915784 bzw. 3319915789, in Deutsch, Springer Nature, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Lectures on Convex Optimization
DE HC NWISBN: 9783319915777 bzw. 3319915770, in Deutsch, Springer International Publishing, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
Lectures-on-Convex-Optimization~~Yurii-Nesterov, Lectures on Convex Optimization, Hardcover.
Lectures-on-Convex-Optimization~~Yurii-Nesterov, Lectures on Convex Optimization, Hardcover.
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