Optimization in Engineering Models and Algorithms /

• Main Authors: Sioshansi, Ramteen (Author), Conejo, Antonio J. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Springer Optimization and Its Applications, 120
• Subjects: Mathematics.; Mathematical optimization.; Industrial engineering.; Production engineering.; Optimization.; Industrial and Production Engineering.

This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emp...

Table of Contents:

• 1. Optimization is Ubiquitous
• 2. Linear Optimization
• 3. Mixed-Integer Linear Optimization
• 4. Nonlinear Optimization
• 5. Iterative Solution Algorithms for Nonlinear Optimization
• 6. Dynamic Optimization
• A. Taylor Approximations and Definite Matrices
• B. Convexity
• Index.