- Hardcover: 448 pages
- Publisher: Princeton University Press (April 16, 2006)
- Language: English
- ISBN-10: 0691124183
- ISBN-13: 978-0691124186
- Product Dimensions: 8 x 1.2 x 10 inches
- Shipping Weight: 2.7 pounds (View shipping rates and policies)
- Average Customer Review: 6 customer reviews
- Amazon Best Sellers Rank: #171,508 in Books (See Top 100 in Books)
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Winner of the 2006 Award for Best Professional/Scholarly Book in Computer & Information Science, Association of American Publishers
"This is a fascinating and enjoyable book to read. It is clear throughout the book that David Luenberger is an experienced teacher who has put careful thought into his writing. He wrote and uses this book for a course in the Dept. of Engineering--Economic Systems and Operations Research at Stanford University. The students range from sophomores to graduate students, and the book is very readable for students at all of these levels."--Susan Kelly, The UMAP Journal
From the Inside Flap
"This original, integrative book is a tour de force, unique in content and presentation. The author has achieved the goal that all academics should strive for: the ability to develop and explain complex ideas in the simplest way without compromising theory or being simplistic."--Sharan Jagpal, Rutgers University
Top customer reviews
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I would say Luenberger is my favorite science author. I thoroughly recommend his other books as well.
We just got our copy David Luenberger's new Information Science[...]. Not only is it a handsome book, big but not heavy with cottony paper, it's like an entire college education on a field you never knew existed, looking at everything from file compression to marketing to microeconomics through one beautiful framework set forth of by Claude Shannon in 1949. It includes a nice Shannon quote, from 1953:
The first [method] I might speak about is simplification. Suppose that you are given a problem to solve, I don't care what kind of problem-a machine to design, or a physical theory to develop, or a mathematical theorem to prove or something of that kind-probably a very powerful approach to this is to attempt to eliminate everything from the problem except the essentials; that is, cut is down to size. Almost every problem that you come across is befuddled with all kinds of extraneous data of one sort or another; and if you can bring this problem down into the main issues, you can see more clearly what you are trying to do an perhaps find a solution. Now in so doing you may have stripped away the problem you're after. You may have simplified it to the point that it doesn't even resemble the problem that you started with; but very often if you can solve this simple problem, you can add refinements to the solution of this until you get back to the solution of the one you started with.
Luenberger comments "Shannon's approach of abstraction to an essence should become clear as we study his contributions throughout this text. His work is a testament to the power of the method."