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Titlebook: Distributed Algorithms; 2nd International Wo J. Leeuwen Conference proceedings 1988 Springer-Verlag Berlin Heidelberg 1988 algorithm.algori

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21#
發(fā)表于 2025-3-25 03:51:11 | 只看該作者
22#
發(fā)表于 2025-3-25 08:11:15 | 只看該作者
The Dictionary of Modern Economicsorithm has bit complexity .(..) and time complexity .(..), while the bottom-up algorithm has bit complexity .(..) and time complexity .(..). However, the bottom-up algorithm requires preprocessing of the subject and pattern trees. An efficient extension of these distributed algorithms to the case of multiple patterns is also given.
23#
發(fā)表于 2025-3-25 11:46:54 | 只看該作者
Psychoanalysis Constructs Motherhoodeneralizes and modifies Spinelli‘s algorithm to a class of algorithms of bounded message complexity, thus making the algorithm practical. Moreover, the generalization provides a spectrum of algorithms out of which one can choose the one which best suits the problem at hand.
24#
發(fā)表于 2025-3-25 16:55:46 | 只看該作者
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發(fā)表于 2025-3-25 20:36:04 | 只看該作者
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發(fā)表于 2025-3-26 06:59:36 | 只看該作者
28#
發(fā)表于 2025-3-26 11:33:47 | 只看該作者
On the use of synchronizers for asynchronous communication networks,orithm do not carry the pulse number. It is easy to suggest remedies for these difficulties which are at variance with the model of computation assumed. But, if we must stay within this model, we show that only the time-inefficient β-synchronizer known earlier can be corrected. We also present simple modifications to ensure this.
29#
發(fā)表于 2025-3-26 13:14:54 | 只看該作者
0302-9743 therlands. It contains 29 papers on new developments in the area of the design and analysis of distributed algorithms. The topics covered include, e.g. algorithms for distributed consensus and agreement in networks, connection management and topology update schemes, election and termination detectio
30#
發(fā)表于 2025-3-26 18:08:00 | 只看該作者
https://doi.org/10.1007/978-1-349-17125-5cation is asyncronous. The total number of messages sent during a construction of a spanning tree is at most 2E+3NlogN. The maximal message size is loglogN+log(maxid)+3, where maxid is the maximal processor identity.
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