Authors:
- Provides a practical and rigorous set of processes to manage problems of model consistency and computational allowability in the construction and use of multidimensional math models
Part of the book series: IFSR International Series in Systems Science and Systems Engineering (IFSR, volume 23)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
Reviews
Dr. George Friedman is indisputably the father of the very powerful methods of Constraint Theory. Indeed, in 1970 it received major commendation by the IEEE: Dr. Friedman's pioneering research was awarded the highly prestigious W.R.G. Baker prize as the most significant published research contribution among thousands of published research papers. This speaks volumes for Dr. Friedman's contribution. --Cornelius T. Leondes, UCLA
Friedman's accomplishment represents engineering at its finest. The choice of subject matter must be honored by the experience gained in his many years of high-level service in the company now known as Northrop-Grumman. The credibility of the theory rests upon the formal proofs which are interspersed among the illuminating hypothetical dialog sequences between manager and analyst, which bring out distinctions that the organization must face, en route to accepting Friedman's work as essential to achieve quality control in developing and applying large models. --John N. Warfield
Bibliographic Information
Book Title: Constraint Theory
Book Subtitle: Multidimensional Mathematical Model Management
Authors: George J. Friedman
Series Title: IFSR International Series in Systems Science and Systems Engineering
DOI: https://doi.org/10.1007/0-387-27650-5
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag US 2005
Hardcover ISBN: 978-0-387-23418-2Published: 07 April 2005
eBook ISBN: 978-0-387-27650-2Published: 20 April 2006
Series ISSN: 1574-0463
Series E-ISSN: 2698-5497
Edition Number: 1
Number of Pages: XXII, 188
Topics: Mathematical and Computational Engineering, Mathematical Modeling and Industrial Mathematics, Computational Intelligence, Mathematics of Computing, Artificial Intelligence