The Newton-cauchy Framework: A Unified Approach To Unconstrained Nonlinear Minimization (lecture Notes In Computer Science) 🔍
J. L. Nazareth (eds.) Springer-Verlag Berlin Heidelberg, Lecture Notes in Computer Science, Lecture Notes in Computer Science 769, 1, 1994
英语 [en] · PDF · 5.2MB · 1994 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save
描述
Computational unconstrained nonlinear optimization comes to life from a study of the interplay between the metric-based (Cauchy) and model-based (Newton) points of view. The motivating problem is that of minimizing a convex quadratic function. This research monograph reveals for the first time the essential unity of the subject. It explores the relationships between the main methods, develops the Newton-Cauchy framework and points out its rich wealth of algorithmic implications and basic conceptual methods. The monograph also makes a valueable contribution to unifying the notation and terminology of the subject. It is addressed topractitioners, researchers, instructors, and students and provides a useful and refreshing new perspective on computational nonlinear optimization.
Erscheinungsdatum: 28.02.1994
备用文件名
lgrsnf/D:\!genesis\library.nu\8b\_23822.8b3c69a58f48d760b085b17bc5422636.pdf
备用文件名
nexusstc/The Newton-Cauchy Framework/8b3c69a58f48d760b085b17bc5422636.pdf
备用文件名
zlib/Engineering/J. L. Nazareth (eds.)/The Newton-Cauchy Framework: A Unified Approach to Unconstrained Nonlinear Minimization_960248.pdf
备选作者
John L Nazareth; SpringerLink (Online service)
备选作者
John Lawrence Nazareth
备用出版商
Springer Berlin Heidelberg : Imprint: Springer
备用出版商
Springer Spektrum. in Springer-Verlag GmbH
备用出版商
Steinkopff. in Springer-Verlag GmbH
备用出版商
Copernicus
备用出版商
Telos
备用版本
Lecture notes in computer science ;, 769, Berlin, New York, Germany, 1994
备用版本
Lecture notes in computer science, 1st ed. 1994, Berlin, Heidelberg, 1994
备用版本
United States, United States of America
备用版本
Germany, Germany
元数据中的注释
до 2011-01
元数据中的注释
lg964518
元数据中的注释
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元数据中的注释
Includes bibliographical references (p. 91-101) .
备用描述
"Computational unconstrained nonlinear optimization comes to life from a study of the interplay between the metric-based (Cauchy) and model-based (Newton) points of view. The motivating problem is that of minimizing a convex quadratic function. This research monograph reveals for the first time the essential unity of the subject. It explores the relationships between the main methods, develops the Newton-Cauchy framework and points out its rich wealth of algorithmic implications and basic conceptual methods. The monograph also makes a valueable contribution to unifying the notation and terminology of the subject. It is addressed topractitioners, researchers, instructors, and students and provides a useful and refreshing new perspective on computational nonlinear optimization."--PUBLISHER'S WEBSITE
备用描述
Motivation....Pages 1-25
The metric-based Cauchy perspective....Pages 26-40
The model-based Newton perspective....Pages 41-53
The Newton-Cauchy framework....Pages 54-74
Convergent implementable algorithms....Pages 75-85
Unconstrained optimization technology....Pages 86-90
备用描述
J. L. Nazareth. Includes Bibliographical References (p. 91-101) .
开源日期
2011-06-04
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