Introduction continuous optimization par polyak roman (17 résultats)
Langue : anglais
Edité par Springer, 2021
Série : Springer Optimization and Its Applications, Livre 163 sur 176. Livre 163 sur 176 - Springer Optimization and Its Applications
- Couverture rigide
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Langue : anglais
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Série : Springer Optimization and Its Applications, Livre 163 sur 176. Livre 163 sur 176 - Springer Optimization and Its Applications
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- Couverture rigide
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Langue : anglais
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Série : Springer Optimization and Its Applications, Livre 163 sur 176. Livre 163 sur 176 - Springer Optimization and Its Applications
- Couverture rigide
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Langue : anglais
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Langue : anglais
Edité par Springer International Publishing, Springer International Publishing, 2021
Série : Springer Optimization and Its Applications, Livre 163 sur 176. Livre 163 sur 176 - Springer Optimization and Its Applications
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This self-contained monograph presents the reader with an authoritative view of Continuous Optimization, an area of mathematical optimization that has experienced major developments during the past 40 years. The book contains results which have not yet been c…overed in a systematic way as well as a summary of results on NR theory and methods developed over the last several decades. The readership is aimed to graduate students in applied mathematics, computer science, economics, as well as researchers working in optimization and those applying optimization methods for solving real life problems. Sufficient exercises throughout provide graduate students and instructors with practical utility in a two-semester course in Continuous Optimization.The topical coverage includes interior point methods, self-concordance theory and related complexity issues, first and second order methods with accelerated convergence, nonlinear rescaling (NR) theory and exterior point methods, just to mention a few. The book contains a unified approach to both interior and exterior point methods with emphasis of the crucial duality role. One of the main achievements of the book shows what makes the exterior point methods numerically attractive and why. The book is composed in five parts. The first part contains the basics of calculus, convex analysis, elements of unconstrained optimization, as well as classical results of linear and convex optimization. The second part contains the basics of self-concordance theory and interior point methods, including complexity results for LP, QP, and QP with quadratic constraint, semidefinite and conic programming. In the third part, the NR and Lagrangian transformation theories are considered and exterior point methods are described. Three important problems in finding equilibrium are considered in the fourth part. In the fifth and final part of the book, several important applications arising in economics, structural optimization, medicine, statistical learning theory, and more, are detailed. Numerical results, obtained by solving a number of real life and test problems, are also provided.
Langue : anglais
Edité par Springer Nature, 2021
Série : Springer Optimization and Its Applications, Livre 163 sur 176. Livre 163 sur 176 - Springer Optimization and Its Applications
- Couverture rigide
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Hardcover. Etat : Brand New. 557 pages. 9.25x6.10x9.21 inches. In Stock.
Langue : anglais
Edité par Springer, 2021
Série : Springer Optimization and Its Applications, Livre 163 sur 176. Livre 163 sur 176 - Springer Optimization and Its Applications
- Couverture rigide
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Langue : anglais
Edité par Springer International Publishing Apr 2021, 2021
Série : Springer Optimization and Its Applications, Livre 163 sur 176. Livre 163 sur 176 - Springer Optimization and Its Applications
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This self-contained monograph presents the reader with an authoritative view of Continuous Optimization, an area of mathematical optimization that has experienced major developments during the past 40 years. The book contains results which hav…e not yet been covered in a systematic way as well as a summary of results on NR theory and methods developed over the last several decades. The readership is aimed to graduate students in applied mathematics, computer science, economics, as well as researchers working in optimization and those applying optimization methods for solving real life problems. Sufficient exercises throughout provide graduate students and instructors with practical utility in a two-semester course in Continuous Optimization.The topical coverage includes interior point methods, self-concordance theory and related complexity issues, first and second order methods with accelerated convergence, nonlinear rescaling (NR) theory and exterior point methods, just to mention a few. The book contains a unified approach to both interior and exterior point methods with emphasis of the crucial duality role. One of the main achievements of the book shows what makes the exterior point methods numerically attractive and why. The book is composed in five parts. The first part contains the basics of calculus, convex analysis, elements of unconstrained optimization, as well as classical results of linear and convex optimization. The second part contains the basics of self-concordance theory and interior point methods, including complexity results for LP, QP, and QP with quadratic constraint, semidefinite and conic programming. In the third part, the NR and Lagrangian transformation theories are considered and exterior point methods are described. Three important problems in finding equilibrium are considered in the fourth part. In the fifth and final part of the book, several important applications arising in economics, structural optimization, medicine, statistical learning theory, and more, are detailed. Numerical results, obtained by solving a number of real life and test problems, are also provided. 560 pp. Englisch.
Langue : anglais
Edité par Springer, 2021
Série : Springer Optimization and Its Applications, Livre 163 sur 176. Livre 163 sur 176 - Springer Optimization and Its Applications
- Couverture rigide
- impression à la demande
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Etat : new. Questo è un articolo print on demand.
Langue : anglais
Edité par Springer International Publishing, 2021
Série : Springer Optimization and Its Applications, Livre 163 sur 176. Livre 163 sur 176 - Springer Optimization and Its Applications
- Couverture rigide
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Numerous exercises throughout provide graduate students and instructors with practical utility in a two-semester course in Continuous OptimizationShows what makes the exterior point methods numerically attractiv…e and whyContains a u.
Langue : anglais
Edité par Springer, Palgrave Macmillan Apr 2021, 2021
Série : Springer Optimization and Its Applications, Livre 163 sur 176. Livre 163 sur 176 - Springer Optimization and Its Applications
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This self-contained monograph presents the reader with an authoritative view of Continuous Optimization, an area of mathematical optimization that has experienced major developments during the past 40 years. The book contains results which have no…t yet been covered in a systematic way as well as a summary of results on NR theory and methods developed over the last several decades. The readership is aimed to graduate students in applied mathematics, computer science, economics, as well as researchers working in optimization and those applying optimization methods for solving real life problems. Sufficient exercises throughout provide graduate students and instructors with practical utility in a two-semester course in Continuous Optimization.The topical coverage includes interior point methods, self-concordance theory and related complexity issues, first and second order methods with accelerated convergence, nonlinear rescaling (NR) theory and exterior point methods, just to mention a few. The book contains a unified approach to both interior and exterior point methods with emphasis of the crucial duality role. One of the main achievements of the book shows what makes the exterior point methods numerically attractive and why.The book is composed in five parts. The first part contains the basics of calculus, convex analysis, elements of unconstrained optimization, as well as classical results of linear and convex optimization. The second part contains the basics of self-concordance theory and interior point methods, including complexity results for LP, QP, and QP with quadratic constraint, semidefinite and conic programming. In the third part, the NR and Lagrangian transformation theories are considered and exterior point methods are described. Three important problems in finding equilibrium are considered in the fourth part. In the fifth and final part of the book, several important applications arising in economics, structural optimization, medicine, statistical learning theory, and more, are detailed. Numerical results, obtained by solving a number of real life and test problems, are also provided.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 560 pp. Englisch.
Langue : anglais
Edité par Springer, 2021
Série : Springer Optimization and Its Applications, Livre 163 sur 176. Livre 163 sur 176 - Springer Optimization and Its Applications
- Couverture rigide
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Langue : anglais
Edité par Springer, 2021
Série : Springer Optimization and Its Applications, Livre 163 sur 176. Livre 163 sur 176 - Springer Optimization and Its Applications
- Couverture rigide
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Vendeur : Biblios, frankfurt am main, HESSE, AllemagneBiblios
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