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3D imaging technologies improve upon the occlusion problem.
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Later, Orgeta [10] improved the previous results.
Later, Liu [14] improved the previous results.
The k-source maximum eccentricity spanning tree is a spanning tree T minimizing the maximum distance from a source to a vertex, i.e., maxs∈S {maxv∈V{dT s,v)}}, where dT s,v) is the length of the path between s and v in T. In this paper, we propose an O |V|2 log |V|+|V| |E|) time algorithm, which improves the previous result on the problem.
In this paper, we present a 153.6-approximation 153.6-approximationSBB problem improving the previous best ralgorithm16.
This point clearly ties into the previous problem.
This generalizes and improves the previous bounds of Yao and Yao for the problem in the bit probe model.
We apply this technique to the two-dimensional orthogonal knapsack problem with provable constant approximation bounds, improving the previous non-constant results in [5].
This also improves the previous result on the multi-hop schedule length of the AAB problem.
In this paper, we areconcerned with the more general problem, and obtain the following theorem that extend and improve the previous results.
In this paper, we are concerned with the more general problem than Theorems A and B, and obtain the following results, which extend and improve the previous results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com