Picture 1 of 2
Stock photo
Picture 1 of 2
Stock photo
Springer Series in Operations Research and Financial Engineering Ser.: Numerical Optimization by Jorge Nocedal and Stephen J. Wright (2006, Hardcover)
A
ab123klmn (22)
100% positive feedback
Price:
$39.99
+ $8.22 shipping
Returns:
30 days returns. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
Condition:
Springer Series in Operations Research and Financial Engineering Ser.: Numerical
- Buy It NowSpringer Series in Operations Research and Financial Engineering Ser.: Numerical
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
About this product
Product Identifiers
PublisherSpringer New York
ISBN-100387303030
ISBN-139780387303031
eBay Product ID (ePID)54212041
Product Key Features
Number of PagesXxii, 664 Pages
LanguageEnglish
Publication NameNumerical Optimization
SubjectNumerical Analysis, System Theory, Optimization
Publication Year2006
FeaturesRevised
TypeTextbook
Subject AreaMathematics, Science
AuthorJorge Nocedal, Stephen J. Wright
SeriesSpringer Series in Operations Research and Financial Engineering Ser.
FormatHardcover
Dimensions
Item Height0.6 in
Item Weight117.8 Oz
Item Length9.3 in
Item Width7 in
Additional Product Features
Edition Number2
Intended AudienceScholarly & Professional
LCCN2006-923897
ReviewsMMOR Mathematical Methods of Operations Research, 2001: "The books looks very suitable to be used in an graduate-level course in optimization for students in mathematics, operations research, engineering, and others. Moreover, it seems to be very helpful to do some self-studies in optimization, to complete own knowledge and can be a source of new ideas.... I recommend this excellent book to everyone who is interested in optimization problems."
Dewey Edition22
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal519.6
Table Of ContentFundamentals of Unconstrained Optimization.- Line Search Methods.- Trust-Region Methods.- Conjugate Gradient Methods.- Quasi-Newton Methods.- Large-Scale Unconstrained Optimization.- Calculating Derivatives.- Derivative-Free Optimization.- Least-Squares Problems.- Nonlinear Equations.- Theory of Constrained Optimization.- Linear Programming: The Simplex Method.- Linear Programming: Interior-Point Methods.- Fundamentals of Algorithms for Nonlinear Constrained Optimization.- Quadratic Programming.- Penalty and Augmented Lagrangian Methods.- Sequential Quadratic Programming.- Interior-Point Methods for Nonlinear Programming.
Edition DescriptionRevised edition
SynopsisOptimization is an important tool used in decision science and for the analysis of physical systems used in engineering. One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization., Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field. The authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side. There is a selected solutions manual for instructors for the new edition., The new edition of this book presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. Its publication responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. This new edition has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are widely used in practice and are the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience including graduate students, researchers and practitioners. The authors have produced a text that is pleasant to read, informative and rigorous. It reveals both the beautiful nature of the discipline and its practical side., The new edition of this book presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It is enhanced by new chapters on nonlinear interior methods and derivative-free methods for optimization.
LC Classification NumberQA402.5-402.6
All listings for this product
Be the first to write a review
