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Another possible explanation is differences in the implementation of the coding rules in the respective countries.
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The full implementation of the code is included.
Current implementation of the code using MATLAB on a 2.3 GHz Intel Core i7 processor takes under 0.1 second per cell.
The choice of the optimization method is crucial for the successful implementation of the code.
Moreover, a trained neural network gives the results significantly more quickly than a computer implementation of the code.
In this version we have restructured the serial implementation of the code so as to achieve optimal task-based parallelization.
This release presents a re-engineered implementation of the code using the new MATLAB object-oriented programming.
Derivatives of the algebraic implementation of the code and numerical testing on a hypothetical problem are used to perform the analysis.
The complete implementation of the code is based on the construction characteristics with the validation of the results obtained by benchmarking the experimental and operational data reported in the reactor Fist Criticality Final Report.
It is therefore essential that patients themselves are genuinely and meaningfully involved at all stages in the planning, development and implementation of the code.
We are working on developing a parallel implementation of the code to assist in scaling up the analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com