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Advances in Sensitivity Analysis and Parametric Programming

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Cover of 'Advances in Sensitivity Analysis and Parametric Programming'

Table of Contents

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    Book Overview
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    Chapter 1 A Historical Sketch on Sensitivity Analysis and Parametric Programming
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    Chapter 2 A Systems Perspective: Entity Set Graphs
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    Chapter 3 Linear Programming 1: Basic Principles
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    Chapter 4 Linear Programming 2: Degeneracy Graphs
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    Chapter 5 Linear Programming 3: The Tolerance Approach
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    Chapter 6 The Optimal Set and Optimal Partition Approach to Linear and Quadratic Programming
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    Chapter 7 Network Models
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    Chapter 8 Qualitative Sensitivity Analysis
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    Chapter 9 Integer and Mixed-Integer Programming
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    Chapter 10 Nonlinear Programming
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    Chapter 11 Multi-Criteria and Goal Programming
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    Chapter 12 Stochastic Programming and Robust Optimization
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    Chapter 13 Redundancy
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    Chapter 14 Feasibility and Viability
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    Chapter 15 Fuzzy Mathematical Programming
Attention for Chapter 12: Stochastic Programming and Robust Optimization
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