The use of the X-FEM facilitates very accurate stress intensity factor computations on relatively coarse meshes, and furthermore, no remeshing is required for crack growth simulations.
Implementation of the computations is relatively straight-forward via simulation once (d_{H_{0}}) and δ have been selected, although clearly using squared Euclidean distance is somewhat easier.
Simulation of seismic wave propagation is a memory intensive problem which involves a large amount of data transfer between the memory and the arithmetic units, while the number of arithmetic computations is relatively small.
Sapporo1 is slightly faster for (N < 10^{4}), because of the increased data-transfer sizes in Sapporo2, which influence the performance more when the number of computations is relatively small.
The reduced-form model has several advantages over existing models, including the ability to predict concentrations for an arbitrarily large number of receptors and time periods, fast computations, and relatively limited data needs.
The Default view is that generalised implicatures are default inferences and that their computation is relatively autonomous - being computed by some default mechanism and only being open to cancellation at a second stage when contextual assumptions are taken into consideration (Chierchia, 2004; Horn, 1984; Levinson, 2000 i.a).a
BLAST and gene set enrichment analysis (GSEA) algorithms have been implemented in Hadoop [ 54] for streaming computation on large data sets and a multi-pass computation on relatively small datasets.
Also we can see that for distant genomes with rearrangement rate over 24% or diameter over 2.5, the original parsimony method based on ASMedian solver cannot finish the computation within reasonable time while our method can still accomplish computation in relatively short time.
It is revealed that the FEM computation shows relatively good agreement with the experimental results.
Compared with the non-linear ICM-based method, the GA-based performance adaptation method is more robust but slower in computation and relatively less accurate.
