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The ability to perform runtime analysis speeds up program understanding and reverse engineering.
Basing on some theoretical analysis, speed-up evaluation methods are proposed to improve the efficiency of the SFLA, which are also suitable for other heuristics designed for RCPSP.
Two main features of this code are: (1) Coupling of the neutronics analysis with the thermal-hydraulic analysis to speed up the analysis progress; (2) preliminary optimization algorithm using one or multiple specified objectives subject to the design criteria in the form of constrains imposed on design variables and performance parameters within the possible engineering ranges.
Association analysis combined with traditional linkage analysis can speed up the process of cloning genes [ 46].
In addition, using meta-heuristic algorithms in malware detection analysis can speed up and improve the execution time and the overall accuracy of the data mining process.
Moreover, it is applicable on 2- as well as 3-dimensional datasets and profits from a considerably automated analysis which speeds up analysis time, and improves measurement reproducibility for less experienced operators [ 66, 67].
However, the vast majority of the computing time is used to perform the SAM analysis, so using a simpler technique for the differential gene expression analysis would drastically speed up the execution time if necessary.
The aim of this paper is to present a three dimensional multi-scale structural analysis methodology to speed up the design process of AFO.
One of the most exciting next frontiers is the synthetic modeling of how neural function gives rise to behavior [144], [145], [146], [147], [148], [149], and an automated paradigm for analysis will greatly speed up this effort.
We hope it will improve the accuracy and robustness of soybean functional genomics analysis, and further speed up research on soybean yield and quality.
Indeed, with continued sequencing of ESTs and analysis of FL – cDNAs, many of the genes described by this manuscript would eventually be incorporated into future annotation releases, but the use of comparative genomic analysis will greatly speed up the process of identifying and verifying those genes that remain un-annotated.
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