Joaquim R. R. A. Martins (Ann Arbor University of Michigan), Andrew Ning (Utah Brigham Young University)

Engineering Design Optimization

• Gebundenes Buch

Produktbeschreibung

A rigorous yet accessible textbook covering both fundamental and advanced optimization topics. Covering both gradient-based and gradient-free algorithms, derivative computation, and numerous visualizations, examples and problems, it is ideal for graduate courses on optimization in aerospace, civil, and mechanical engineering departments.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 650
• Erscheinungstermin: 20. Januar 2022
• Englisch
• Abmessung: 254mm x 195mm x 30mm
• Gewicht: 1546g
• ISBN-13: 9781108833417
• ISBN-10: 1108833411
• Artikelnr.: 62118705

Autorenporträt

Joaquim R. R. A. Martins is a Professor of Aerospace Engineering at the University of Michigan. He is a fellow of the American Institute for Aeronautics and Astronautics, and the Royal Aeronautical Society.

Inhaltsangabe

1. Introduction
2. A short history of optimization
3. Numerical models and solvers
4. Unconstrained gradient-based optimization
5. Constrained gradient-based optimization
6. Computing derivatives
7. Gradient-free optimization
8. Discrete optimization
9. Multiobjective optimization
10. Surrogate-based optimization
11. Convex optimization
12. Optimization under uncertainity
13. Multidisciplinary design optimization
A. Mathematics background
B. Linear solvers
C. Quasi-Newton methods
D. Test problems.