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The numerical aspects, such as the stress updating algorithm and the algorithmic consistent tangent moduli, are also discussed in details.
This implies that the relative benefit of using the RHS-updating algorithm compared to the residual updating algorithm is not affected by the number of SNPs included.
In fact, the array storing the genotypes for the residual updating algorithm or the group codes for the RHS-updating algorithm are the largest arrays used in those algorithms, and therefore largely determine the total amount of RAM used.
Based on seven algorithmic requirements and the corresponding design solutions, we introduce a general constitutive updating algorithm based on the strain and the Jacobian provided by the element.
The effect of noise on the updating algorithm is studied.
Algorithm 1: Service list generation and updating algorithm.
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Using such libraries may have a larger impact on CPU time for the residual updating algorithms than for the RHS-updating algorithm, since the former involves many more multiplications.
Next, a frequency-based sensitivity-updating algorithm is applied to identify the model.
Then, a distributed solution under the pricing framework via an efficient price-updating algorithm is proposed.
This indicates that the total number of operations is drastically reduced by the RHS-updating algorithm.
In the RHS-updating algorithm, the array that stores the group codes was stored as integer(2).
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Justyna Jupowicz-Kozak
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