Engineering Optimization: methods and applications (repost)

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Engineering Optimization: methods and applications (repost)

Engineering Optimization: methods and applications
by A. Ravindran, K. M. Ragsdell, G. V. Reklaitis
English | 2007 | ISBN: 0471558141 | 681 pages | DJVU | 4.03 MB

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

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