| Author | Robert Vanderbei |
| Publisher | Springer |
| Year | 2008 |
| Language | English |
| Pages | 464 |
| Size | 4.16 MB |
| Extension |
Summary
"Linear Programming: Foundations and Extensions" provides a broad introduction to both the theory and the application of optimization, with a special emphasis on the elegance, importance, and usefulness of the parametric self-dual simplex method. The book covers a wide range of topics, including the simplex method, duality theory, and interior-point methods. It also includes practical applications and numerical examples to illustrate the concepts.
Key Features
- Comprehensive coverage of linear programming theory and applications
- Detailed explanation of the simplex method and its variants
- Introduction to interior-point methods and their applications
- Numerical examples and practical applications
- Free C and Python programs to implement major algorithms
About Author
Robert Vanderbei is an American mathematician and Emeritus Professor in the Department of Operations Research and Financial Engineering at Princeton University. He has made significant contributions to the field of optimization, particularly in the development of algorithms for linear programming. Vanderbei has authored numerous research papers and books, and his work is widely recognized in the academic community.
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Frequently Asked Questions
Q: What can I learn by reading this book?
A: You can learn about the theory and application of linear programming, including the simplex method, duality theory, and interior-point methods.
Q: Is this book suitable for beginners?
A: Yes, it provides a comprehensive introduction to the topic, making it suitable for beginners.
Q: Is this book recommended for professionals?
A: Absolutely, it offers in-depth coverage and practical examples that are valuable for professionals.
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