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Symbolic computation is an important area of both Mathematics and Computer Science, with many large computations that would benefit from parallel execution.
The K computer at the RIKEN Advanced Institute for Computational Science in Kobe, Japan, was used for the large computations.
Hence, it is recommended to use ANFIS approach only in those cases in which carrying out large computations is possible.
The key stated reasons include, scaling out large, low-risk computations whenever either the market demand is low, and thus prices are low, or when large computations need to run unexpectedly and the planned capacity is not sufficient.
Although the presented formulation for FG thick plates using HOSNT11 involves large computations compared to FOST and CPT, the accuracy of the obtained numerical results is as good as the exact 3D elasticity solutions.
From these analyses, we can notice that the similarity calculation takes higher time compared to other results since this part includes comparatively large computations.5 We assume that this computation is done only once at the beginning of recommendation process.
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Parallel computing divides large computation problems into smaller ones, which are then solved concurrently.
This optimization needs a large computation efforts.
However, they need large computation efforts.
However, compared with AFL, the WHT requires a large computation.
However, the application of this method is limited by the large computation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com