Articles liés à Lectures on Convex Optimization
Synopsis
This book provides a comprehensive, modern introduction to convex optimization, a field that is becoming increasingly important in applied mathematics, economics and finance, engineering, and computer science, notably in data science and machine learning.
Written by a leading expert in the field, this book includes recent advances in the algorithmic theory of convex optimization, naturally complementing the existing literature. It contains a unified and rigorous presentation of the acceleration techniques for minimization schemes of first- and second-order. It provides readers with a full treatment of the smoothing technique, which has tremendously extended the abilities of gradient-type methods. Several powerful approaches in structural optimization, including optimization in relative scale and polynomial-time interior-point methods, are also discussed in detail.
Researchers in theoretical optimization as well as professionals working on optimization problems will find this book very useful. It presents many successful examples of how to develop very fast specialized minimization algorithms. Based on the author's lectures, it can naturally serve as the basis for introductory and advanced courses in convex optimization for students in engineering, economics, computer science and mathematics.Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Yurii Nesterov is a well-known specialist in optimization. He is an author of pioneering works related to fast gradient methods, polynomial-time interior-point methods, smoothing technique, regularized Newton methods, and others. He is a winner of several prestigious international prizes, including George Danzig prize (2000), von Neumann Theory prize (2009), SIAM Outstanding Paper Award (20014), and Euro Gold Medal (2016).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer International Publishing AG
- Date d'édition2018
- ISBN 10 3319915770
- ISBN 13 9783319915777
- ReliureRelié
- Langueanglais
- Numéro d'édition2
- Nombre de pages589
- Coordonnées du fabricantnon disponible
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Lectures on Convex Optimization
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Springer, 2018
ISBN 10 : 3319915770
ISBN 13 : 9783319915777
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Etat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. N° de réf. du vendeur 32724925-5
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Lectures on Convex Optimization
Edité par
Springer International Publishing, 2018
ISBN 10 : 3319915770
ISBN 13 : 9783319915777
Neuf
Couverture rigide
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a self-contained description of fast gradient methodsOffers the first description in the monographic literature of the modern second-order methods based on cubic regularizationProvides a comprehensive treatment of the smoothing tec. N° de réf. du vendeur 220289810
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Lectures on Convex Optimization
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Springer, 2018
ISBN 10 : 3319915770
ISBN 13 : 9783319915777
Ancien ou d'occasion
Couverture rigide
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Etat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. N° de réf. du vendeur 32724925-5
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Lectures on Convex Optimization
Edité par
Springer International Publishing AG, 2018
ISBN 10 : 3319915770
ISBN 13 : 9783319915777
Neuf
Couverture rigide
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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Lectures on Convex Optimization
ISBN 10 : 3319915770
ISBN 13 : 9783319915777
Neuf
Couverture rigide
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive, modern introduction to convex optimization, a field that is becoming increasingly important in applied mathematics, economics and finance, engineering, and computer science, notably in data science and machine learning.Written by a leading expert in the field, this book includes recent advances in the algorithmic theory of convex optimization, naturally complementing the existing literature. It contains a unified and rigorous presentation of the acceleration techniques for minimization schemes of first- and second-order. It provides readers with a full treatment of the smoothing technique, which has tremendously extended the abilities of gradient-type methods. Several powerful approaches in structural optimization, including optimization in relative scale and polynomial-time interior-point methods, are also discussed in detail.Researchers in theoretical optimization as well as professionals working on optimization problems will findthis book very useful. It presents many successful examples of how to develop very fast specialized minimization algorithms. Based on the author's lectures, it can naturally serve as the basis for introductory and advanced courses in convex optimization for students in engineering, economics, computer science and mathematics. N° de réf. du vendeur 9783319915777
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Lectures on Convex Optimization
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Springer International Publishing Dez 2018, 2018
ISBN 10 : 3319915770
ISBN 13 : 9783319915777
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a comprehensive, modern introduction to convex optimization, a field that is becoming increasingly important in applied mathematics, economics and finance, engineering, and computer science, notably in data science and machine learning.Written by a leading expert in the field, this book includes recent advances in the algorithmic theory of convex optimization, naturally complementing the existing literature. It contains a unified and rigorous presentation of the acceleration techniques for minimization schemes of first- and second-order. It provides readers with a full treatment of the smoothing technique, which has tremendously extended the abilities of gradient-type methods. Several powerful approaches in structural optimization, including optimization in relative scale and polynomial-time interior-point methods, are also discussed in detail.Researchers in theoretical optimization as well as professionals working on optimization problems will find this book very useful. It presents many successful examples of how to develop very fast specialized minimization algorithms. Based on the author's lectures, it can naturally serve as the basis for introductory and advanced courses in convex optimization for students in engineering, economics, computer science and mathematics. 616 pp. Englisch. N° de réf. du vendeur 9783319915777
Quantité disponible : 2 disponible(s)
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Lectures on Convex Optimization (Springer Optimization and Its Applications, 137)
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Introductory Lectures on Convex Optimization
impression à la demandeVendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 2nd edition. 589 pages. 9.25x6.25x1.50 inches. In Stock. This item is printed on demand. N° de réf. du vendeur __3319915770
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Lectures on Convex Optimization
Edité par
Springer International Publishing AG, 2018
ISBN 10 : 3319915770
ISBN 13 : 9783319915777
Neuf
Couverture rigide
Vendeur : ECOSPHERE, Champs sur marne, France
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Couverture rigide. Etat : Neuf. 2ème Édition. N° de réf. du vendeur 9783319915777
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Lectures on Convex Optimization (Springer Optimization and Its Applications, 137)
Edité par
Springer, 2018
ISBN 10 : 3319915770
ISBN 13 : 9783319915777
Ancien ou d'occasion
Couverture rigide
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Etat : Acceptable. Item in acceptable condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00066309035
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