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Efficient Algorithms for Strong Local Consistencies and Adaptive Techniques in Constraint Satisfaction Problems
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Efficient Algorithms for Strong Local Consistencies and Adaptive Techniques in Constraint Satisfaction Problems
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Efficient Algorithms for Strong Local Consistencies and Adaptive Techniques in Constraint Satisfaction Problems

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المواصفات

الناشرLulu.com; First Edition
رقم الكتاب المعياري الدولي 101329010094
الكاتبAnastasia Paparrizou
اللغةEnglish
عدد الصفحات166 pages
رقم الكتاب المعياري الدولي 139781329010093
وصف الكتابConstraint programming is a successful technology for solving a wide range of problems in business and industry which require satisfying a set of constraints. Central to solving constraint satisfaction problems is enforcing a level of local consistency. In this thesis, we propose efficient filtering algorithms for enforcing strong local consistencies. In addition, since such filtering algorithms can be too expensive to enforce all the time, we propose some automated heuristics that can dynamically select the most appropriate filtering algorithm. Published by AI Access, a not-for-profit publisher of open access texts with a highly respected scientific board. We publish monographs and collected works. Our texts are available electronically for free and in hard copy at close to cost.
تنسيق الكتابPaperback
تاريخ النشر23 March 2015
Efficient Algorithms for Strong Local Consistencies and Adaptive Techniques in Constraint Satisfaction Problems
Efficient Algorithms for Strong Local Consistencies and Adaptive Techniques in Constraint Satisfaction Problems
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