Download PDF Applied Mathematical Programming, by Stephen P. Bradley, Arnoldo C. Hax, Thomas L. Magnanti
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Applied Mathematical Programming, by Stephen P. Bradley, Arnoldo C. Hax, Thomas L. Magnanti
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Book by Bradley, Stephen P., Hax, Arnoldo C., Magnanti, Thomas L.
- Sales Rank: #908151 in Books
- Brand: Brand: Addison-Wesley
- Published on: 1977-02
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.75" h x 6.75" w x 1.25" l,
- Binding: Hardcover
- 716 pages
- Used Book in Good Condition
Most helpful customer reviews
0 of 0 people found the following review helpful.
Five Stars
By Cliente Amazon
Excelent!!!
6 of 6 people found the following review helpful.
Wealth of easy-to-understand modeling/algorithm knowledge!!!
By Milan Vujic
Do not look at the date of this book (1977). It still provides the foundation of applied mathematical programming used today. And it is still used today in modeling courses as the main reference because it covers topics from A to Z in a practical and easy-to-understand manner.
Not only does this book show you how to model a wide array of problems, it explains the mathematical algorithms/techniques behind the modeling. And it combines the theory with tonnes of examples!!!
After reading this book, I finally have a true understanding of several topics such as linear programming, duality theory, sensitivity analysis, network/dynamic programming, integer programming, non-linear programming, and my favorite, modeling/solving large-scale problems (via column generation, decomposition, etc..)
The best thing about the book is that advanced topics do not seem advanced any more!!! I wasted my $$$ on too many Operational Research books that over-complicate topics; this book should be on every mathematical programmer's book shelf.
Many thanks to Bradely, Hax, and Magnanti for a job well done!
4 of 4 people found the following review helpful.
This book is available free online
By Craig Schmidt
This is the textbook for the Introduction to Optimization (15.053) class taught at MIT. If you do a Google search for that class, you will find the entire book as a free download.
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