Optimization : algorithms and applications

Optimization algorithms and applications

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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Detalles Bibliográficos
Autor principal: Arora, Rajesh Kumar (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, Fla. : CRC P. 2015.
Edición:1st edition
Materias:
MATLAB.
Mathematical optimization.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629264506719
Tabla de Contenidos:
  • 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.

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