Friday, March 8, 2013

Stochastic programming 84


Go Stochastic programming 84


GO Stochastic programming 84


Author: A. Prekopa, Roger J. B. Wets
Type: eBook
Language: English
Released: 1986
Publisher: Elsevier Science Ltd
Page Count: 188
Format: djvu
ISBN-10: 0444879927
ISBN-13: 9780444879929
Tags:Stochastic programming 84, tutorials, pdf, djvu, chm, epub, ebook, book, torrent, downloads, rapidshare, filesonic, hotfile, fileserve


Description:
"The main subjects in this book relate to software development using cutting-edge technologies for real-world industrial automation applications A hands-on approach to applying a wide variety of emerging technologies to modern industrial practice problems Explains key concepts through clear examples, ranging from simple to more complex problem domains, and all based on real-world industrial problems A useful reference book for practicing engineers as well as an updated resource book for researchers From the Back Cover In industrial settings, using modern technology, machinery, and integrated systems to their maximum potential often depends on well-designed automation software. As tech-nologies continually develop and evolve, practicing engineers and academic researchers must continually develop the software to run these technologies. Modern Industrial Automation Software Design offers readers the critical tools needed to create software that meets today's dynamic industrial challenges. This up-to-date resource first lays out the knowledge base that allows purposeful and disciplined automation software development. Then, moving from general knowledge to its specific use, the authors discuss five typical applications in real-world industrial automation software design. These include: An object-oriented reconfigurable software design A flexible measurement point management system An automatic blending system using multithreaded programming A flexible automatic test system for rotating turbine machinery An Internet-based online real-time condition monitoring system Using this practical, hands-on approach, Modern Industrial Automation Software Design covers important new software innovations, such as: Modern software engineering * Object-oriented methodology * Visual/graphical programming platforms * Graphical user interfaces * Virtual instrumentation * Component-based systems * Systematic database management * Dynamic data exchange * Software performance testing Modern Industrial Automation Software Design brings together multiple disciplines into a cutting-edge reference suitable not only for students and practitioners of industrial measurement and control, but also for the general reader interested in new prospects for industrial production and management. "


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