Engineering optimization

Rao, S. S.

at 250 WPM

15h 3m

The average reader, reading at a speed of 250 WPM, would take 15h 3m to read Engineering optimization.

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31

days at 30 min/day

903

total minutes

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Engineering optimization

by Rao, S. S.

1996

Wiley

903

0471550345

Description

A rigorous mathematical approach to identifying a set of design alternatives and selecting the best candidate from within that set, engineering optimization was developed as a means of helping engineers to design systems that are both more efficient and less expensive and to develop new ways of improving the performance of existing systems. Thanks to the breathtaking growth in computer technology that has occurred over the past decade, optimization techniques can now be used to find creative solutions to larger, more complex problems than ever before. As a consequence, optimization is now viewed as an indispensable tool of the trade for engineers working in many different industries, especially the aerospace, automotive, chemical, electrical, and manufacturing industries. . In Engineering Optimization, Professor Singiresu S. Rao provides an application-oriented presentation of the full array of classical and newly developed optimization techniques now being used by engineers in a wide range of industries. Essential proofs and explanations of the various techniques are given in a straightforward, user-friendly manner, and each method is copiously illustrated with real-world examples that demonstrate how to maximize desired benefits while minimizing negative aspects of project design. Comprehensive, authoritative, up-to-date, Engineering Optimization provides in-depth coverage of linear and nonlinear programming, dynamic programming, integer programming, and stochastic programming techniques as well as several breakthrough methods, including genetic algorithms, simulated annealing, and neural network-based and fuzzy optimization techniques. Designed to function equally well as either a professional reference or a graduate-level text, Engineering Optimization features many solved problems taken from several engineering fields, as well as review questions, important figures, and helpful references. Engineering Optimization is a valuable working resource for engineers employed in practically all technological industries. It is also a superior didactic tool for graduate students of mechanical, civil, electrical, chemical, and aerospace engineering.

Frequently Asked Questions

How many pages are in Engineering optimization?

This edition of Engineering optimization has approximately 903 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

How long does it take to read Engineering optimization?

For most readers, Engineering optimization typically takes between 18h 49m and 12h 33m to complete. This is based on the book's length of approximately 225,750 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 15h 3m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 31 days • Estimated word count: 225,750 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

What is the word count of Engineering optimization?

The estimated word count for Engineering optimization is approximately 225,750 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Who is the author of Engineering optimization?

Engineering optimization was written by Rao, S. S..

When was Engineering optimization published?

The publication date for this specific edition is 1996. The original work may have been published on a different date.