Fast Algorithm for Connected Row Convex Constraints
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 192-196.
Abstract
Many interesting tractable problems are identified under the model of Constraint Satisfaction Problems. These problems are usually solved by forcing a certain level of local consistency. In this paper, for the class of connected row convex constraints, we propose a novel algorithm which is based on the ideas of variable elimination and efficient composition of row convex and connected constraints. Compared with the existing work including randomized algorithms, the new algorithm has better worst case time and space complexity.
@inproceedings{ijcai2007p29,
title = {Fast Algorithm for Connected Row Convex Constraints},
author = {Zhang, Yuanlin},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {192--196},
year = {2007},
url = {https://ijcai.org/proceedings/2007/29},
}
TY - CPAPER TI - Fast Algorithm for Connected Row Convex Constraints AU - Zhang, Yuanlin T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 192 EP - 196 UR - https://ijcai.org/proceedings/2007/29 ER -Copied
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