Numerical OptimizationNumerical Optimization presents a comprehensive and uptodate 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. Drawing on their experiences in teaching, research, and consulting, the authors have produced a textbook that will be of interest to students and practitioners alike. Each chapter begins with the basic concepts and builds up gradually to the best techniques currently available. 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. Above all, 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. MMOR Mathematical Methods of Operations Research, 2001: "The book looks very suitable to be used in an graduatelevel course in optimization for students in mathematics, operations research, engineering, and others. Moreover, it seems to be very helpful to do some selfstudies 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." 
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Review: Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
User Review  Suman  GoodreadsAmazon currently has this book for around $60. At this price, I consider it an easy buy because of the wealth of information. Particularly good are chapters 12 and 5, which are about the theory of ... Read full review
Review: Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
User Review  Terran  GoodreadsAn excellent text on the theory and algorithms of mathematical optimization, naturally focussing on convex problems. Its treatment is a bit more formal than some other texts I've seen (eg, they delve ... Read full review
Contents
Introduction  1 
Fundamentals of Unconstrained Optimization  11 
Line Search Methods  35 
TrustRegion Methods  65 
Conjugate Gradient Methods  101 
Practical Newton Methods  135 
Notes and References  162 
Notes and References  189 
Theory of Constrained Optimization  315 
The Simplex Method  363 
InteriorPoint Methods  395 
Fundamentals of Algorithms for Nonlinear Cons trained Optimization  420 
Penalty Barrier and Augmented Lagrangian Methods  491 
Sequential Quadratic Programming  529 
Elements of Analysis Geometry Topology  577 
Elements of Linear Algebra  593 
Notes and References  219 
Nonlinear LeastSquares Problems  251 
Nonlinear Equations  277 
611  
625  
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References from web pages
Numerical Optimization, by Nocedal and Wright
The second edition of "Numerical Optimization" is now available! Errata (list of typos and errors in the first edition). This book is available from ...
www.ece.northwestern.edu/ ~nocedal/ book/ numopt.html
CMPUT 670  Numerical Optimization: Theory and Algorithms
Free on the web. Numerical Optimization, by Jorge Nocedal and Stephen Wright http://www.ece.northwestern.edu/~nocedal/book/numopt.html ...
www.cs.ualberta.ca/ ~dale/ cmput670/
MU EECE 229 Topics  Numerical Optimization
I want to improve the preparation of graduate students to apply modern tools for numerical optimization wisely to their research projects. ...
www.eng.mu.edu/ corlissg/ 229NumOpt.07Sum/
JSTOR: Numerical Optimization
Numerical Optimization. By Jorge Nocedal and Stephen J. Wright. SpringerVerlag, New York, 2000. $64.95. xx+636 pp., hardcover. ISBN 0387987932. ...
links.jstor.org/ sici?sici=00361445(200109)43%3A3%3C572%3ANO%3E2.0.CO%3B2X
ISSAC: SNC '07, Numerical optimization in hybrid ...
Numerical optimization in hybrid symbolicnumeric computation .... Nocedal, J., and Wright, sj Numerical Optimization SpringerVerlag, New York, 1999. ...
portal.acm.org/ citation.cfm?id=1277500.1277507&
Scientific Meeting on Numerical Optimization 2003
J. Nocedal, sj Wright: Numerical Optimization, Springer Verlag, 1999. rg Strongin, yd Sergeyev: Global Optimization with nonconvex constraints: sequential ...
dm.unife.it/ opt2003/
1 Nocedal J, Wright S J. Numerical Optimization. Springer Series ...
1 Nocedal J, Wright S J. Numerical Optimization. Springer Series in Operations Research. New York: SpringerVerlag, 1999 ...
219.238.6.200/ getfile?category=article&
MS&E 315 Numerical Optimization
J. Nocedal, sj Wright, Numerical Optimization, Springer Verlag. D.Bertsekas, Nonlinear Programming, Athena Scientific. Top of page ...
msande315.stanford.edu/ information/
Positive Bases in Numerical Optimization
Keywords: positive bases, numerical optimization. 1. Introduction. The theory of positive bases introduced by C. Davis [5] in 1954 does not appear in most ...
www.springerlink.com/ index/ T36614Q24121234V.pdf
Topics in Numerical Optimization
OCIAM and NA Group. Topics in Numerical Optimization ... Nocedal, J. and Wright, sj, Numerical Optimization, Springer Verlag, 1999 ...
web2.comlab.ox.ac.uk/ oucl/ courses/ grad0506/ topics/ optim/