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Constraint Theory
ISBN-13:
9780387276502
Veröffentl:
2006
Seiten:
188
Autor:
George Friedman
Serie:
23, IFSR International Series in Systems Science and Systems Engineering
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:
The enormous potential of digital computation to manage new complex systems is impeded by exponential increases in complexity. As the model's dimensionality increases from hundreds to thousands of variables, and as submodels constructed by diverse technical teams are integrated into the total model, the model is likely to become inconsistent and even more likely, the computational requests on the model become unallowable. This text analyzes the way constraint theory employs bipartite graphs and constraint matrices to detect and correct these well-posed problems. It also presents the process of locating the "kernel of constraint", literally trillions of times faster than a random search, determining consistency and compatibility within seconds. This text is an invaluable reference for all engineers, mathematicians and managers concerned with modeling.
"The enormous potential of digital computation to manage new complex systems is impeded by exponential increases in complexity. As the model's dimensionality increases from hundreds to thousands of variables, and as submodels constructed by diverse technical teams are integrated into the total model, the model is likely to become inconsistent and even more likely, the computational requests on the model become unallowable.
Motivations: What is Constraint Theory and why is it important?- The Four-fold way: How to Perceive Complex Mathematical Models and Well-Posed Problems.- General Results: From Protomath to Math to Metamath.- Regular Relations: Searching for the Kernels of Constraint.- Discrete and Interval Relations: The Diminished Utility of Metamodels.- The Logical Structure of Constraint: Theory A Compact Summary.- Examples of Constraint Theory Applied to Real-World Problems.- Manager and Analyst Meet Again: Gists and Schizophrenia.
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