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Engineering Optimization: Theory and Practice, 4th Edition

Instructor Companion Site

Table Of Contents

Chapter 1: Introduction to Optimization

Chapter 2: Classical Optimization Techniques

Chapter 3: Linear Programming I: Simplex Method

Chapter 4: Linear Programming II: Additional Topics and Extensions

Chapter 5: Nonlinear Programming I: One-Dimensional Minimization Methods

Chapter 6: Nonlinear Programming II: Unconstrained Optimization Techniques

Chapter 7: Nonlinear Programming III: Constrained Optimization Techniques

Chapter 8: Geometric Programming

Chapter 9: Dynamic Programming

Chapter 10: Integer Programming

Chapter 11: Stochastic Programming

Chapter 12: Optimal Control and Optimality Criteria Methods

Chapter 13: Modern Methods of Optimization

Chapter 14: Practical Aspects of Optimization

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