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Society for Industrial and Applied Mathematics
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Michael C. Ferris presents a thorough and accessible introduction to linear programming, designed to benefit both students and professionals. The text seamlessly blends theoretical concepts with practical applications, providing readers with a solid understanding of linear programming methods and their relevance in various fields.
Using MATLAB as a primary tool, it guides readers through problem formulation, solution techniques, and the interpretation of results. The hands-on approach encourages readers to engage with the software, enhancing their learning experience as they apply what they've learned to real-world scenarios.
The book covers a range of topics, from basic principles to more advanced concepts, ensuring comprehensive coverage of linear programming. By offering clear explanations and practical examples, Ferris equips readers with the necessary skills to tackle optimization problems effectively, making this a valuable resource for anyone looking to deepen their knowledge in this area.
Using MATLAB as a primary tool, it guides readers through problem formulation, solution techniques, and the interpretation of results. The hands-on approach encourages readers to engage with the software, enhancing their learning experience as they apply what they've learned to real-world scenarios.
The book covers a range of topics, from basic principles to more advanced concepts, ensuring comprehensive coverage of linear programming. By offering clear explanations and practical examples, Ferris equips readers with the necessary skills to tackle optimization problems effectively, making this a valuable resource for anyone looking to deepen their knowledge in this area.