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Yurii Nesterov

ISBN 10: 1402075537 ISBN 13: 9781402075537

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ISBN 10: 1461346916 ISBN 13: 9781461346913

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Item Description: Springer-Verlag New York Inc., United States, 2013. Paperback. Book Condition: New. Language: English . Brand New Book. 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]. Softcover reprint of the original 1st ed. 2004. Bookseller Inventory # AAU9781461346913

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Yurii Nesterov

Published by Springer-Verlag New York Inc., United States (2013)

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Item Description: Springer-Verlag New York Inc., United States, 2013. Paperback. Book Condition: New. Language: English . Brand New Book. 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]. Softcover reprint of the original 1st ed. 2004. Bookseller Inventory # AAU9781461346913

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Nesterov, Y.

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Item Description: Springer, 2013. Book Condition: New. 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. Series: Applied Optimization. Num Pages: 254 pages, biography. BIC Classification: PBU; UY. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 14. Weight in Grams: 403. . 2013. Softcover reprint of the original 1st ed. 2004. Paperback. . . . . . Bookseller Inventory # V9781461346913

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Nesterov, Y.

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Item Description: Springer. Book Condition: New. 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. Series: Applied Optimization. Num Pages: 254 pages, biography. BIC Classification: PBU; UY. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 14. Weight in Grams: 403. . 2013. Softcover reprint of the original 1st ed. 2004. Paperback. . . . . Books ship from the US and Ireland. Bookseller Inventory # V9781461346913

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Nesterov, Y.

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Item Description: Springer, 2017. Paperback. Book Condition: New. Brand New! This item is printed on demand. Bookseller Inventory # VIB1461346916

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Nesterov, Yurii

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Item Description: Springer, 2016. Paperback. Book Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Bookseller Inventory # ria9781461346913_lsuk

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Yurii Nesterov

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Item Description: Springer-Verlag New York Inc., United States, 2013. Paperback. Book Condition: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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]. Softcover reprint of the original 1st ed. 2004. Bookseller Inventory # LIE9781461346913

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Yurii Nesterov

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Item Description: Springer, 2013. Book Condition: New. Bookseller Inventory # EH9781461346913

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YURII NESTEROV

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Item Description: Springer, 2013. Paperback. Book Condition: NEW. 9781461346913 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Bookseller Inventory # HTANDREE0506604

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Y. Nesterov

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ISBN 10: 1402075537 ISBN 13: 9781402075537

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Item Description: Springer, 2003. Hardcover. Book Condition: Used: Good. Bookseller Inventory # SONG1402075537

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Yurii Nesterov

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Item Description: Springer, 2013. Paperback. Book Condition: Brand New. reprint edition. 9.25x6.00x0.50 inches. In Stock. Bookseller Inventory # __1461346916

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Item Description: Springer, 2013. Paperback. Book Condition: New. book. Bookseller Inventory # M1461346916

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Nesterov, Yurii

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Item Description: Springer, 2016. Paperback. Book Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Bookseller Inventory # ria9781402075537_lsuk

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Yurii Nesterov

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ISBN 10: 1402075537 ISBN 13: 9781402075537

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Item Description: Springer-Verlag New York Inc., United States, 2003. Hardback. Book Condition: New. 2004 ed.. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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]. Bookseller Inventory # LIE9781402075537

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Nesterov, Yurii

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Item Description: Springer, 2013. Paperback. Book Condition: New. Bookseller Inventory # INGM9781461346913

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Item Description: Springer, 2017. Paperback. Book Condition: New. Never used! This item is printed on demand. Bookseller Inventory # 1461346916

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Item Description: Springer Dez 2013, 2013. Taschenbuch. Book Condition: Neu. Neuware - 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]. 260 pp. Englisch. Bookseller Inventory # 9781461346913

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Item Description: Springer. Paperback. Book Condition: New. 236 pages. Dimensions: 9.2in. x 6.1in. x 0.6in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9781461346913

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Y. NESTEROV

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Item Description: Springer, 2003. Hardback. Book Condition: NEW. 9781402075537 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Bookseller Inventory # HTANDREE0292228

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Nesterov, Yurii

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Yurii Nesterov

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Item Description: Springer-Verlag New York Inc., United States, 2003. Hardback. Book Condition: New. 2004 ed.. 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]. Bookseller Inventory # APC9781402075537

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Item Description: Springer-Verlag New York Inc., United States, 2003. Hardback. Book Condition: New. 2004 ed.. 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]. Bookseller Inventory # APC9781402075537

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Yurii Nesterov

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Item Description: Springer, 2013. Paperback. Book Condition: Brand New. reprint edition. 9.25x6.00x0.50 inches. In Stock. Bookseller Inventory # x-1461346916

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Item Description: Springer, 2003. Book Condition: New. This item is printed on demand for shipment within 3 working days. Bookseller Inventory # LP9781402075537

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Item Description: Springer, 2003. Hardcover. Book Condition: New. book. Bookseller Inventory # M1402075537

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Item Description: Springer. Hardcover. Book Condition: New. This item is printed on demand. 254 pages. This is the first elementary exposition of the main ideas of complexity theory for convex optimization. Up to now, most of the material can be found only in special journals and research monographs. The book covers optimal methods and lower complexity bounds for smooth and non-smooth convex optimization. A separate chapter is devoted to polynomial-time interior-point methods. Audience: The book is suitable for industrial engineers and economists. This item ships from La Vergne,TN. Hardcover. Bookseller Inventory # 9781402075537

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Nesterov, Y.

Published by Springer

ISBN 10: 1402075537 ISBN 13: 9781402075537

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From: Russell Books (Victoria, BC, Canada)

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Item Description: Springer. Hardcover. Book Condition: New. 1402075537 Special order direct from the distributor. Bookseller Inventory # ING9781402075537

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