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Book Categories |
Preface | ||
I | Models | |
1 | Linear Programming | |
2 | Mixed-Integer Linear Programming | |
3 | Nonlinear Programming | |
II | Methods | |
4 | An Introduction to Linear Programming | |
5 | Understanding the Set of All Feasible Solutions | |
6 | Solving the Linear Programming Problem | |
7 | Mixed-Integer Linear Programming | |
8 | Optimality and Duality in Nonlinear Programming | |
9 | Computational Methods for Nonlinear Programming | |
III | Software | |
10 | The GAMS Package | |
11 | Some Examples Using GAMS | |
IV | Applications | |
12 | Applications | |
13 | Some Useful Modeling Tricks | |
A | Compatibility and Set of All Feasible Solutions | |
B: Notation | ||
Bibliography | ||
Index |
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Add Mathematical Programming Model, Modeling is one of the most appealing areas in engineering and applied sciences. Engineers need to build models to solve real life problems. The aim of a model consists of reproducing the reality as faithfully as possible, trying to understand how the rea, Mathematical Programming Model to your collection on WonderClub |