Published in Volume XVII, 2007, pages 83-112
Authors: C. Frăsinaru
Abstract
Many computationally difficult problems from areas like planning and scheduling are easily modelled as constraint satisfaction problems (CSP). In order to have an uniform practical approach of these, a new programming paradigm emerged in the form of constraint programming, providing the opportunity of having declarative descriptions of CSP instances and also obtaining their solutions in reasonable computational time.
Full Text (PDF)References
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Bibtex
@article{sacscuza:frasinaru2007btfcaecs, title={Basic Techniques for Creating an Efficient CSP Solver}, author={C. Fr{u a}sinaru}, journal={Scientific Annals of Computer Science}, volume={17}, organization={``A.I. Cuza'' University, Iasi, Romania}, year={2007}, pages={83--112}, publisher={``A.I. Cuza'' University Press} }