The classic introduction to engineering optimization theory and
practice--now expanded and updated
Engineering optimization helps engineers zero in on the most
effective, efficient solutions to problems. This text provides a
practical, real-world understanding of engineering optimization.
Rather than belaboring underlying proofs and mathematical
derivations, it emphasizes optimization methodology, focusing on
techniques and stratagems relevant to engineering applications in
design, operations, and analysis. It surveys diverse optimization
methods, ranging from those applicable to the minimization of a
single-variable function to those most suitable for large-scale,
nonlinear constrained problems. New material covered includes the
duality theory, interior point methods for solving LP problems, the
generalized Lagrange multiplier method and generalization of convex
functions, and goal programming for solving multi-objective
optimization problems. A practical, hands-on reference and text,
Engineering Optimization, Second Edition covers:
* Practical issues, such as model formulation, implementation,
starting point generation, and more
* Current, state-of-the-art optimization software
* Three engineering case studies plus numerous examples from
chemical, industrial, and mechanical engineering
* Both classical methods and new techniques, such as successive
quadratic programming, interior point methods, and goal
programming
Excellent for self-study and as a reference for engineering
professionals, this Second Edition is also ideal for senior and
graduate courses on engineering optimization, including television
and online instruction, as well as for in-plant training.
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