Algorithmic Aspects in Information and Management: 10th - download pdf or read online

By Qianping Gu, Pavol Hell, Boting Yang

ISBN-10: 3319079557

ISBN-13: 9783319079554

ISBN-10: 3319079565

ISBN-13: 9783319079561

This quantity constitutes the lawsuits of the overseas convention on Algorithmic features in details and administration, AAIM 2014, held in Vancouver, BC, Canada, in July 2014.

The 30 revised complete papers awarded including 2 invited talks have been rigorously reviewed and chosen from forty five submissions. the themes hide so much components in discrete algorithms and their applications.

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Read Online or Download Algorithmic Aspects in Information and Management: 10th International Conference, AAIM 2014, Vancouver, BC, Canada, July 8-11, 2014. Proceedings PDF

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Extra resources for Algorithmic Aspects in Information and Management: 10th International Conference, AAIM 2014, Vancouver, BC, Canada, July 8-11, 2014. Proceedings

Example text

However, for the online version, we have no information about the future prices, including the bound of the highest market price. If the whole amount of product has been sold by the time a buyer with very high market price arrives, the performance will be poor. Thus, we must keep or reserve some amount in case there is a future buyer with a higher market price. L. Chin et al. possible buyer with higher price may not come. Thus, to have a good performance, the amount sold and the amount remaining should be balanced nicely.

Compute their evacuation times defined as τl and τr , respectively. Then the time required to complete the evacuation of k-sink location problem is equal to max{τl , τr }. If τl < τr , then move the vertices of left half of set F to Vl where the number of half of set F equals |F2 | − 1. Update the sets both Vl and Vr , and turn to Step 3. If τl > τr , then move the vertices of right half of set F to Vr . Update the sets both Vl and Vr , and turn to Step 3. If it is the case τl = τr before |F | = 0, then the corresponding sink locations are the optimal locations for the k-sink problem and then stop.

This running time might still be too high for application purposes. Here we present a better FPT algorithm which runs in O∗ (2k ) time. Recall that in the EBC problem we are given two strings X and Y of length n over an alphabet Σ and a partition (X1 , X2 , · · · , Xk ) of X. The question is whether Y is a string jointed by a permutation of {Xi }ki=1 . We consider the parameterized problem with the parameter being k. Here we give a dynamic programming algorithm that runs in O∗ (2k ) time. Let Y be the set of all nonempty substrings of Y .

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Algorithmic Aspects in Information and Management: 10th International Conference, AAIM 2014, Vancouver, BC, Canada, July 8-11, 2014. Proceedings by Qianping Gu, Pavol Hell, Boting Yang


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