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lgli/Cs_Computer science/CsLn_Lecture notes/T/The Newton-Cauchy Framework.. A Unified Approach to Unconstrained Nonlinear Minimization(LNCS0769, Springer, 1994)(ISBN 3540576711)(T)(113s)_CsLn_.djvu
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] · DJVU · 0.8MB · 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/Cs_Computer science/CsLn_Lecture notes/T/The Newton-Cauchy Framework.. A Unified Approach to Unconstrained Nonlinear Minimization(LNCS0769, Springer, 1994)(ISBN 3540576711)(T)(113s)_CsLn_.djvu
备用文件名
nexusstc/The Newton-Cauchy Framework/aaf0d71a8bf7d460f8c50dfe6b59c2ec.djvu
备用文件名
zlib/Engineering/J. L. Nazareth (eds.)/The Newton-Cauchy Framework: A Unified Approach to Unconstrained Nonlinear Minimization_613754.djvu
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
Kolxo3
元数据中的注释
lg964518
元数据中的注释
{"container_title":"Lecture Notes in Computer Science","edition":"1","isbns":["0387576711","3540483101","3540576711","9780387576718","9783540483106","9783540576716"],"issns":["0302-9743","1611-3349"],"last_page":108,"publisher":"Springer","series":"Lecture Notes in Computer Science 769"}
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
2010-02-05
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