Please use this identifier to cite or link to this item: http://localhost:80/handle/Hannan/52839
Title: Newton-Type Methods for Optimization and Variational Problems
Authors: Izmailov, Alexey F.;Solodov, Mikhail V.
subject: Mathematics;Mathematical optimization.;Mathematics;Operations Research, Management Science.;Continuous Optimization.;Optimization.;T57.6-57.97
Year: 2014
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Series/Report no.: Springer Series in Operations Research and Financial Engineering, 1431-8598.
Springer Series in Operations Research and Financial Engineering, 1431-8598.
Abstract: This book presents comprehensive state-of-the-art theoretical analysis of the fundamental Newtonian and Newtonian-related approaches to solving optimization and variational problems. A central focus is the relationship between the basic Newton scheme for a given problem and algorithms that also enjoy fast local convergence. The authors develop general perturbed Newtonian frameworks that preserve fast convergence and consider specific algorithms as particular cases within those frameworks, i.e., as perturbations of the associated basic Newton iterations. This approach yields a set of tools for the unified treatment of various algorithms, including some not of the Newton type per se. Among the new subjects addressed is the class of degenerate problems. In particular, the phenomenon of attraction of Newton iterates to critical Lagrange multipliers and its consequences as well as stabilized Newton methods for variational problems and stabilized sequential quadratic programming for optimization. This volume will be useful to researchers and graduate students in the fields of optimization and variational analysis.
Description: Printed edition: 9783319042466.
URI: http://46.100.53.162/handle/Ebook/52839
ISBN: 9783319042473.
9783319042466 (print)
Appears in Collections:کلیات فنی و مهندسی

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Title: Newton-Type Methods for Optimization and Variational Problems
Authors: Izmailov, Alexey F.;Solodov, Mikhail V.
subject: Mathematics;Mathematical optimization.;Mathematics;Operations Research, Management Science.;Continuous Optimization.;Optimization.;T57.6-57.97
Year: 2014
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Series/Report no.: Springer Series in Operations Research and Financial Engineering, 1431-8598.
Springer Series in Operations Research and Financial Engineering, 1431-8598.
Abstract: This book presents comprehensive state-of-the-art theoretical analysis of the fundamental Newtonian and Newtonian-related approaches to solving optimization and variational problems. A central focus is the relationship between the basic Newton scheme for a given problem and algorithms that also enjoy fast local convergence. The authors develop general perturbed Newtonian frameworks that preserve fast convergence and consider specific algorithms as particular cases within those frameworks, i.e., as perturbations of the associated basic Newton iterations. This approach yields a set of tools for the unified treatment of various algorithms, including some not of the Newton type per se. Among the new subjects addressed is the class of degenerate problems. In particular, the phenomenon of attraction of Newton iterates to critical Lagrange multipliers and its consequences as well as stabilized Newton methods for variational problems and stabilized sequential quadratic programming for optimization. This volume will be useful to researchers and graduate students in the fields of optimization and variational analysis.
Description: Printed edition: 9783319042466.
URI: http://46.100.53.162/handle/Ebook/52839
ISBN: 9783319042473.
9783319042466 (print)
Appears in Collections:کلیات فنی و مهندسی

Files in This Item:
File Description SizeFormat 
9783319042473.pdf7.31 MBAdobe PDFThumbnail
Preview File
Title: Newton-Type Methods for Optimization and Variational Problems
Authors: Izmailov, Alexey F.;Solodov, Mikhail V.
subject: Mathematics;Mathematical optimization.;Mathematics;Operations Research, Management Science.;Continuous Optimization.;Optimization.;T57.6-57.97
Year: 2014
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Series/Report no.: Springer Series in Operations Research and Financial Engineering, 1431-8598.
Springer Series in Operations Research and Financial Engineering, 1431-8598.
Abstract: This book presents comprehensive state-of-the-art theoretical analysis of the fundamental Newtonian and Newtonian-related approaches to solving optimization and variational problems. A central focus is the relationship between the basic Newton scheme for a given problem and algorithms that also enjoy fast local convergence. The authors develop general perturbed Newtonian frameworks that preserve fast convergence and consider specific algorithms as particular cases within those frameworks, i.e., as perturbations of the associated basic Newton iterations. This approach yields a set of tools for the unified treatment of various algorithms, including some not of the Newton type per se. Among the new subjects addressed is the class of degenerate problems. In particular, the phenomenon of attraction of Newton iterates to critical Lagrange multipliers and its consequences as well as stabilized Newton methods for variational problems and stabilized sequential quadratic programming for optimization. This volume will be useful to researchers and graduate students in the fields of optimization and variational analysis.
Description: Printed edition: 9783319042466.
URI: http://46.100.53.162/handle/Ebook/52839
ISBN: 9783319042473.
9783319042466 (print)
Appears in Collections:کلیات فنی و مهندسی

Files in This Item:
File Description SizeFormat 
9783319042473.pdf7.31 MBAdobe PDFThumbnail
Preview File