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Book Categories |
Foreword | ||
Preface | ||
Acknowledgements | ||
About the Authors | ||
1 | A Historical Sketch on Sensitivity Analysis and Parametric Programming | |
2 | A Systems Perspective: Entity Set Graphs | |
3 | Linear Programming 1: Basic Principles | |
4 | Linear Programming 2: Degeneracy Graphs | |
5 | Linear Programming 3: The Tolerance Approach | |
6 | The Optimal Set and Optimal Partition Approach | |
7 | Network Models | |
8 | Qualitative Sensitivity Analysis | |
9 | Integer and Mixed-Integer Programming | |
10 | Nonlinear Programming | |
11 | Multi-Criteria and Goal Programming | |
12 | Stochastic Programming and Robust Optimization | |
13 | Redundancy | |
14 | Feasibility and Viability | |
15 | Fuzzy Mathematical Programming | |
Index |
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Add Advances in Sensitivity Analysis and Parametric Programming, The numerous advances in mathematical programming have opened up new insights about sensitivity analysis. The paradigm 'What if...?' question is no longer the only question of interest. Often, we want to know 'Why...?' and 'Why not...?' Such questions wer, Advances in Sensitivity Analysis and Parametric Programming to the inventory that you are selling on WonderClubX
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Add Advances in Sensitivity Analysis and Parametric Programming, The numerous advances in mathematical programming have opened up new insights about sensitivity analysis. The paradigm 'What if...?' question is no longer the only question of interest. Often, we want to know 'Why...?' and 'Why not...?' Such questions wer, Advances in Sensitivity Analysis and Parametric Programming to your collection on WonderClub |