Function Filtering

نویسندگان
چکیده

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Two-sided Function Filtering

Function filtering enhances dynamic programming methods working on a tree decomposition of the constraint graph. It is based on bounds for tuples: if the lower bound of tuple t is equal to or higher than a suitable upper bound, t can be discarded, decrementing the size of the message to travel in the tree decomposition. We present a new form of lower bound that tightens the lower bound of the o...

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Improving DPOP with function filtering

DPOP is an algorithm for distributed constraint optimization which has, as main drawback, the exponential size of some of its messages. Recently, some algorithms for distributed cluster tree elimination have been proposed. They also suffer from exponential size messages. However, using the strategy of cost function filtering, in practice these algorithms obtain important reductions in maximum m...

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Tree Decomposition with Function Filtering

Besides search, complete inference methods can also be used to solve soft constraint problems. Their main drawback is the high spatial complexity. To improve its practical usage, we present an approach to decrease memory consumtion in tree decomposition methods, a class of complete inference algorithms. This approach, called function filtering, allows to detect and remove some tuples that appea...

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Improving function filtering for computationally demanding DCOPs

In this paper we focus on solving DCOPs in computationally demanding scenarios. GDL optimally solves DCOPs, but requires exponentially large cost functions, being impractical in such settings. Function filtering is a technique that reduces the size of cost functions. We improve the effectiveness of function filtering to reduce the amount of resources required to optimally solve DCOPs. As a resu...

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Evaluation of filtering bleb function by thermography.

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ژورنال

عنوان ژورنال: The Journal of the Acoustical Society of America

سال: 1964

ISSN: 0001-4966

DOI: 10.1121/1.1939357