A First Course in Optimization Theory | 
| Author: Rangarajan K. Sundaram
Publisher: Cambridge University Press
Category: Book
List Price: $38.99
Buy New: $35.90
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Avg. Customer Rating:  10 reviews
Sales Rank: 176846
Media: Paperback
Number Of Items: 1
Pages: 375
Shipping Weight (lbs): 1.5
Dimensions (in): 9.9 x 6.9 x 0.9
ISBN: 0521497701
Dewey Decimal Number: 519.3
EAN: 9780521497701
ASIN: 0521497701
Publication Date: June 13, 1996
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Shipping: International shipping available
Condition: Brand new item. Over 3.5 million customers served. Order now. Selling online since 1995. Few left in stock - order soon. Code: C20080624190844B
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Product Description
This book introduces students to optimization theory and its use in economics and allied disciplines. The first of its three parts examines the existence of solutions to optimization problems in Rn, and how these solutions may be identified. The second part explores how solutions to optimization problems change with changes in the underlying parameters, and the last part provides an extensive description of the fundamental principles of finite- and infinite-horizon dynamic programming. A preliminary chapter and three appendices are designed to keep the book mathematically self-contained.
Book Description
Divided into three separate parts, this book introduces students to optimization theory and its use in economics and allied disciplines. A preliminary chapter and three appendices are designed to keep the book mathematically self-contained.
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| Customer Reviews: Read 5 more reviews...
 Good for self study, but aimed at economists April 9, 2008
This is an attractive, very well written, self contained book which takes you by the hand, explaining the basic notions of convergence, and then moving through a refresher course on multivariable calculus and such topics as Lagrange Multipliers, then the relation of optimization to convexity and quasi convexity and more advanced topics.
Most of the examples come from economics, so this book could be ideal to bring an economics major up to level.
However you should be aware that many books entitled optimization cover different material. For example a book on numerical optimization such as
Numerical Optimization (Springer Series in Operations Research and Financial Engineering) have very different contents, so you need to be clear about what you want before you buy this book.
I initially gave this book 1 star because I got a book with a few missing pages, which C.U.P graciously replaced for me, but now I would give it 4 stars, if only I could change the rating when editing my review!
 Great Review of Optimization for Graduates January 3, 2007
This book is a great review prior to starting graduate study in economics. Its accessible even if you've never studied optimization before, and covers many of the main optimization concepts used in first semester graduate coursework.
a good book... October 17, 2005
0 out of 8 found this review helpful
a good book with lots of preliminary math review, but exercises are not that well
Outstanding... a MUST April 12, 2005
3 out of 4 found this review helpful
Excellent introduction to optimization techniques with a special emphasis to induce the student to an active and positive attitude towards the rigoruous demonstration of every proposition behind theorems and economic models.
This is not a book for beginners, but an excellent one that helps to develop the abilities required to understand modern textbooks and papers on micro and macroeconomics.
With an excellent presentation, and interesting end-of-chapter exercises, this book cannot be out of every economist's toolbox.
Couldn't ask for much more. February 2, 2005
5 out of 6 found this review helpful
An excellent introduction at this level which is both lucid and rigorous with just enough examples to motivate applications while not leaving the reader swimming in redundancy. The previous review gives details, but I will add that the proofs are concise and clear. The only thing I would add to this book is more and harder problems, but that is easily remedied. If you want a theoretical introduction, buy this book right now -- its one of the best textbooks I have ever seen.
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