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Particular attention is given to block-based DCT (BDCT), with emphasis on the possibility of lowering the computational burden by parallel application of the s.p.e.d.d
Experimental results indicate that the proposed simplified type-2 FLC is as robust as a conventional type-2 FLC, while lowering the computational cost.
Although saving one iteration in the main loop according to Section 3.2 results in lowering the computational effort by two additions and one multiplication, the need for the final complex multiplication cancels such a benefit.
The goal of the presented work is to combine a CFD solver and GPU computing with the intent to solve complex problems at a high-order of accuracy while lowering the computational time required to generate the solution.
The method proposed in this paper (ED-LS) aims at lowering the computational cost of the local search by reducing, based on certain heuristics, the size of these neighbourhoods.
The ability to reduce the number of main chain conformations after this stage while keeping most of the correct conformations would be highly valuable for lowering the computational cost.
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Reducing or can lower the computational complexity.
Additionally, a multiresolution technique is an option to lower the computational expense of the presented method.
The IDP method can lower the computational burden and improve the accuracy.
To lower the computational complexity of the approach described in this section, various modifications have been proposed.
This approach is able to significantly lower the computational complexity compared to optimal maximum-likelihood (ML) algorithm.
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