TY  - BOOK
AU  - Martins,Joaquim R.R.A.
AU  - Ning,S.Andrew
TI  - Engineering design optimization
SN  - 9781108833417
U1  - 620.0042 23
PY  - 2022///
CY  - United Kingdom
PB  - Cambridge  University Press
KW  - Engineering design
KW  - Mathematical models
KW  - Mathematical optimization
KW  - Multidisciplinary design optimization
KW  - MATHEMATICS / Optimization
KW  - bisacsh
N1  - Includes bibliographical references and index; A short history of optimization -- Numerical models and solvers -- Unconstrained gradient-based optimization -- Constrained gradient-based optimization -- Computing derivatives -- Gradient-free optimization -- Discrete optimization -- Multiobjective optimization -- Surrogate-based optimization -- Convex optimization -- Optimization under uncertainty -- Multidisciplinary design optimization; CSE; ps
N2  - "Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 200 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice"--
ER  -