Algorithmic Aspects in Information and Management: 10th by Qianping Gu, Pavol Hell, Boting Yang

By Qianping Gu, Pavol Hell, Boting Yang

This quantity constitutes the complaints of the foreign convention on Algorithmic facets in info and administration, AAIM 2014, held in Vancouver, BC, Canada, in July 2014.

The 30 revised complete papers provided including 2 invited talks have been conscientiously reviewed and chosen from forty five submissions. the subjects conceal such a lot components in discrete algorithms and their applications.

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By requiring that the bounds m and M are known, they gave an optimal algorithm for the problem, which has competitive ratio k+1 k k (M/m). For recent related research on revenue maximization that allows price setting, we mention the auction problem [4, 13] and the pricing problem [1–3, 5, 7, 8]. For the auction problem, there are bidders competing for the products by sending their bids to the auctioneer, and the auctioneer chooses some bidders, and determines the price and amount of products to be sold to each chosen bidder.

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 and x means the smallest integer larger than x. 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 two optimal 1-sink locations are also the optimal locations for the 2-sink problem and then stop. If it is always the case τl = τr till |F | = 0, then turn to Step 4.

R∗ · f (r∗ ) In order to get a good performance, we need to find a non-increasing function ∞ ∞ f (x) such that 0 f (x)dx converges to 1, or more simply, 0 f (x)dx = c for some constant c (as we can normalize it to 1 later), and for any x > 1, f (x) is as large as possible. After assuming the first market price is 1, we may just ∞ ∞ analyze the property of 1 f (x)dx. It is well known that 1 x1 dx diverges and ∞ 1 thus f (x) = 1/x is too large. Similarly as 1 x1+ dx converges for any > 0, f (x) = 1/(x · x ) is too small.

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