Overview
My objective in writing this book is to present to students of management science, mathematics, engineering, and economics the salient features of the theory and computational aspects of linear programming. The material is self-contained in that it offers, in considerable detail, the mathematical tools needed to study linear programming theory and to implement a set of algorithms designed to efficiently solve linear programs. The only prerequisites are basic calculus and some exposure to linear algebra and matrix theory.
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© 1996 Kluwer Academic Publishers
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Panik, M.J. (1996). Introduction and Overview. In: Panik, M.J. (eds) Linear Programming: Mathematics, Theory and Algorithms. Applied Optimization, vol 2. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-3434-7_1
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DOI: https://doi.org/10.1007/978-1-4613-3434-7_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-3436-1
Online ISBN: 978-1-4613-3434-7
eBook Packages: Springer Book Archive