| |
|
Practical Methods of Optimization 6 reviews
R. Fletcher
Wiley, 2000
Paperback reprint of 2nd Ed. from 1987
+ Invaluable insight
+ Best book
+ Excellent intermediate resource
+ A classic and must-have for researchers using optimization
|
|
|
|
|
|
| |
|
Multi-Objective Optimization Using Evolutionary Algorithms 3 reviews
Kalyanmoy Deb, Deb Kalyanmoy
Wiley, 2001
The Reference in Evolutionary Multiobjective Optimization
+ Great Book
+ Great book; a must for engineers and scientists alike
This is the first complete and updated text on Multi-objective Evolutionary Algorithms (MOEAs), covering all major areas clearly, thoughtfully and thoroughly. Thanks to the development of evolutionary computation MOEAs are now a well established technique for multi-objective optimization that ...
|
|
|
|
|
|
| |
|
Iterative Methods for Linear and Nonlinear Equations (Frontiers in Applied Mathematics)1 review
C. T. Kelley
Society for Industrial Mathematics, 1987
Iterative Methods for Linear and Nonlinear Equations (Frontiers inApplied Mathematics, Vol. 16)
I recommend this book as a jump start to the arena. This is a comprehenshive book, that includes examples of the subjects discussed and script files in Matlab that are provided online.
|
|
|
|
|
|
| |
|
Optimal Control Theory: An Introduction6 reviews
Donald E. Kirk
Dover Publications, 2004
Classic that never goes out of style
+ VERY GOOD
+ Very good book.
+ Very good introduction
+ Practical Excellent Introduction
|
|
|
|
|
|
| |
|
Numerical Optimization (Springer Series in Operations Research and Financial Engineering)13 reviews
Jorge Nocedal, Stephen Wright
Springer, 2006
The best book for engineers that want to implement too
+ Pretty good book
+ Great book in optimization
+ Good
+ Numerical Optimization Review
|
|
|
|
|
|
| |
|
Optimization in Operations Research16 reviews
Ronald L. Rardin
Prentice Hall, 1997
Good operations research book
+ Book Contents
+ A Clear and Concise Text for OR
+ Master piece
+ PhD student in IE
|
|
|
|
|
|
| |
|
Nonlinear Programming: Theory and Algorithms3 reviews
Mokhtar S. Bazaraa, Hanif D. Sherali, ...
Wiley-Interscience, 2006
Great Book for NLP (for the mathematically inclined only!)
+ Excellent Text
+ One of the best books on NLP at this level
I am referring to the Bazaraa, Sherali and Shetty book "Nonlinear Programming, Theory and Applications", second edition (it seems that Amazon missed the third author). This is a great book for anyone who is interested in nonlinear optimization. The book presents the topic in a clear and concise ...
|
|
|
|
|
|
| |
|
Iterative Methods for Optimization (Frontiers in Applied Mathematics)
C. T. Kelley
Society for Industrial Mathematics, 1987
This book presents a carefully selected group of methods for unconstrained and bound constrained optimization problems and analyzes them in depth both theoretically and algorithmically. It focuses on clarity in algorithmic description and analysis rather than generality, and while it provides pointers to the literature for the most general theoretical results and robust software, the author ...
|
|
|
|
|
|
| |
|
Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics)3 reviews
J. E. Dennis, Robert B. Schnabel
Society for Industrial Mathematics, 1987
I understood it!
+ Excellent
+ SIAM calls this book a "Classic" for good reason.
Looking for a text that explains the maths and the implementation of optimisation? I needed to write a program that included numerical optimisation, but I didn't understand the maths. I'd tried to read some other books on the subject, but I gave up because they presumed too much background ...
|
|
|
|
|
|
| |
|
Linear and Nonlinear Programming, Second Edition 5 reviews
David G. Luenberger
Springer, 2003
A book on mathematics that also an engineer can read
+ Good book , but consider a used copy!
+ A necessary book for all who want to read and learn!
+ Good introduction
|
|
|
|
|
|
| |
|
Lancelot: A Fortran Package for Large-Scale Nonlinear Optimization (Springer Series in Computational ...1 review
Andrew R. Conn, Nicholas I. M. Gould, ...
Springer, 1992
A great math book
By far the best book I've ever read on large-Scale non-linear optimization. A must read for math fans.
|
|
|
|
|
|
| |
|
Nonlinear Programming: Analysis and Methods
Mordecai Avriel
Dover Publications, 2003
This overview provides a single-volume treatment of key algorithms and theories. Begins with the derivation of optimality conditions and discussions of convex programming, duality, generalized convexity, and analysis of selected nonlinear programs, and then explores techniques for numerical solutions and unconstrained optimization methods. 1976 edition. Includes 58 figures and 7 tables.
|
|
|
|
|
|
| |
|
An Introduction to Optimization, 2nd Edition 6 reviews
Edwin K. P. Chong, Stanislaw H. Zak
Wiley-Interscience, 2001
took the class, liked the book
Drs. Chong and Zak are Professors of Electrical Engineering at Purdue, and Dr. Chong was the instructor for the ECE grad level optimization class when I took it spring '97. The book alone is good, detailed and rigorous enough for a graduate course without sacrificing readability or in-chapter ...
|
|
|
|
|
|
| |
|
Response Surface Methodology: Process and Product Optimization Using Designed Experiments (Wiley Series in ...8 reviews
Raymond H. Myers, Douglas C. Montgomery
Wiley-Interscience, 2002
an improved second edition by two great writers
+ Very good
+ The best RSM book out there! Does NOT miss the point.
+ even better second edition
+ Very well written
|
|
|
|
|
|
| |
|
Constrained Optimization and Lagrange Multiplier Methods (Optimization and Neural Computation Series) 2 reviews
Dimitri P. Bertsekas
Athena Scientific, 1996
Authoritative source
This monograph (a republication of the 1982 original) is the authoritative and most widely referenced source for the research done in the "golden period" of Lagrange multiplier methods (late 60s to early 80s), during which the conceptual foundations of the subject were laid, and the major ...
|
|
|
|
|
|
| |
|
Solving Nonlinear Equations with Newton's Method (Fundamentals of Algorithms)1 review
C. T. Kelley
Society for Industrial Mathematics, 1987
Nice introduction
This is a concise and practical introduction to some Newton method scheme, which can be read in a day or two if the reader has some background in numerical methods. The book sketches the main idea behind the methods and clearly explains the pros and cons of each method. I did not give 5 stars ...
|
|
|
|
|
|
| |
|
Gradient Optimization and Nonlinear Control1 review
Lawrence Hasdorff
Krieger Pub Co, 1976
Very organized book
This is a book concerning with optimal control. The book starts with the basics of functional analysis, and goes on to the discussion of some linear minimization problem where conjugate gradient method is used as a primary technique. Then it is extented to nonlnear problems for which scaled ...
|
|
|
|
|
|
| |
|
Principles of Optimal Design: Modeling and Computation2 reviews
Panos Y. Papalambros, Douglass J. Wilde
Cambridge University Press, 2000
A Well Written Engineering Text
The topic -- Optimal Design -- is difficult and treating it efficiently requires a high ratio of mathematical expressions to prose. Despite this, the authors' prose is superb. This is a very readable advanced engineering text, provided that the reader is well-versed in linear algebra. A lot of care ...
|
|
|
|
|
|
| |
|
Nonlinear Programming: Sequential Unconstrained Minimization Techniques (Classics in Applied Mathematics)
Anthony V. Fiacco, Garth P. McCormick
Society for Industrial Mathematics, 1987
A reprint of the original volume, which won the Lanchester Prize awarded by the Operations Research Society of America for the best work of 1968. Although out of print for nearly 15 years, it remains one of the most referenced volumes in the field of mathematical programming. Recent interest in interior point methods generated by Karmarkar's Projective Scaling Algorithm has created a new demand ...
|
|
|
|
|
|
| |
|
An Introduction to Genetic Algorithms (Complex Adaptive Systems)17 reviews
Melanie Mitchell
The MIT Press, 1998
An introduction and much more
+ A Great Introduction to Genetic Algorithms
First it must be said that the book is not an introduction that the non-scientist will easily understand. Some knowledge of computer programming is assumed. It acknowledges this in the last paragraph of the preface. Many of the notations in the book are unfamiliar to business or financial readers. ...
|
|
|
|
|
|
