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However, for low strengths, other greedy approaches, like IPOG-F, may be better alternatives.
Matching pursuit (MP) is a set of popular greedy approaches to compressive sensing.
For the few cases that greedy approaches may find solutions, our algorithms can achieve significant reductions in total cost.
The present study is the first to use greedy approaches to surface normal estimation within a PST framework.
The cost for the greedy approaches, Multi-Site and BP, is high because they inherently map requests without optimizing.
Experiments show that the typical greedy approaches cannot find a feasible solution for the tight timing requirements while our algorithms can.
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We further suggest an enhancement to the greedy approach, termed semi-greedy approach, which takes some concern into the future, without adding significant complexity to the greedy approach.
The greedy approach has the benefit of fast reconstruction.
The greedy approach taken by the algorithm (similar to the greedy approach taken by Dijkstra's shortest path algorithm) produces routes that are suboptimal in hop count.
Our solution algorithm is based on a generalized graph coloring model and a randomized greedy approach.
Until recently, the assignment was computed by human schedulers who used a quite straightforward greedy approach.
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