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Optimization : algorithms and applications /

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Optimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. The book covers both gradient and stochastic methods as solution techniques for unconstrained and constrained opti...

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Bibliographic Details
Main Author: Arora, Rajesh Kumar
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton, Fla. : CRC P., 2015.
Edition:1st edition.
Subjects:
MATLAB.
Mathematical optimization.
Optimisation mathématique.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1. Introduction
  • 2. 1-D Optimization Algorithms
  • 3. Unconstrained Optimization
  • 4. Linear Programming
  • 5. Guided Random Search Methods
  • 6. Constrained Optimization
  • 7. Multiobjective Optimization
  • 8. Geometric Programming
  • 9. Multidisciplinary Design Optimization
  • 10. Integer Programming
  • 11. Dynamic Programming
  • Bibliography
  • Appendix A: Introduction to MATLAB
  • Appendix B: MATLAB Code
  • Appendix C: Solutions to Chapter Problems
  • Index.