Springer
Linear Optimization Problems with Inexact Data (English, Miroslav Fiedler | Josef Nedoma | Jaroslav Ramik)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9780387326979 |
| ISBN-10 | 0387326979 |
| Author | Miroslav Fiedler | Josef Nedoma | Jaroslav Ramik |
Product Description
About the Book
Linear programming attracted the interest of mathematicians during and after World War II when the first computers were constructed and methods for solving large linear programming problems were sought in connection with specific practical problems--for example, providing logistical support for the U.S. Armed Forces or modeling national economies. Early attempts to apply linear programming methods to solve practical problems failed to satisfy exp…
ISBN: 9780387326979
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Linear Optimization Problems with Inexact Data
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Customer Reviews
5.0(1)
A imprescindible book for interval computations
This book has all what you need to know about classical interval optimization models, including computing systems of interval matrices and LP models.It is well written and well organized with an excelent math level and notations.Its hardcover ensures its durability and portability, so it's perfect for studying at any place and carry out with you.
Juan K· 24 Apr 2026
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Who is the author of Linear Optimization Problems with Inexact Data?
Linear Optimization Problems with Inexact Data is authored by Miroslav Fiedler | Josef Nedoma | Jaroslav Ramik.
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Linear Optimization Problems with Inexact Data is published by Springer.
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About the Book
Linear programming attracted the interest of mathematicians during and after World War II when the first computers were constructed and methods for solving large linear programming problems were sought in connection with specific practical problems--for example, providing logistical...
Is Linear Optimization Problems with Inexact Data suitable for beginners?
Whether Linear Optimization Problems with Inexact Data is suitable for beginners depends on your background in Springer. Review the product description and specifications above for details on the target audience and difficulty level.
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