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Introduction to Applied Optimization /

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Intended for advanced undergraduate/graduate students as well as scientists and engineers, this textbook presents a multi-disciplinary view of optimization, providing a thorough examination of algorithms, methods, techniques, and tools from diverse areas of optimization. Linear programming, nonlinea...

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Bibliographic Details
Main Author: Diwekar, Urmila M. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:3rd ed. 2020.
Series:Springer Optimization and Its Applications, 22
Subjects:
Mathematical optimization.
Applied mathematics.
Engineering mathematics.
Operations research.
Decision making.
Calculus of variations.
System theory.
Optimization.
Mathematical and Computational Engineering.
Operations Research/Decision Theory.
Calculus of Variations and Optimal Control; Optimization.
Systems Theory, Control.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1. Introduction
  • 2. Linear Programming
  • 3. Nonlinear Programming.-4. Discrete Optimization
  • 5. Optimization Under Uncertainty
  • 6. Multiobjective Optimization
  • 7.Optimal Control and Dynamic Optimization
  • Index.