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Empirical evaluations illustrate the effectiveness of our techniques in comparison to previous methods, and also demonstrate their applicability for learning control on an anthropomorphic robot arm.
The most conspicuous gains in comparison to previous methods, however, appear for applications to wavenumber-integration techniques such as the reflectivity method.
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In comparison to previous long characteristics methods, we have greatly improved the parallel performance of the adaptive long-characteristics method by developing a new completely asynchronous and non-blocking communication algorithm.
In comparison to previous research, our methods are relatively efficient, regarding both quality of solutions provided and execution time of algorithms.
In comparison to previous reports, the proposed method was faster and required smaller sample amount but could equally monitor all EO constituents with no significant differences.
There are two advantages of the proposed method in comparison to previous works.
The code based on this implementation exhibits superior performance in comparison to previous implementation of the charge patching method using the basis of plane waves.
We also measured the methods' performance on these data for a direct comparison to previous works.
We had evaluated our method in different chunking tasks and languages in comparison to previous studies.
Contains comparison to previous publication.
Comparison to previous implementations is also presented.
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