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We compare and evaluate the computational cost and efficiency of LMFG applied to these two formulations using a direct solver for the preconditioners.
Real multiplication and real addition are used to evaluate the computational cost.
In order to objectively evaluate the computational cost associated to the proposed classifier, we perform a quantitative study of the number of instructions available for speech enhancement in hearing aids, considering the characteristics of a state-of-the-art commercial device.
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Note that in evaluating the computational cost of inversion of a matrix having dimension n×n, we assume a total of n 3 multiplications and n 3 additions.
In this section, we evaluate the computational and communication cost of the proposed scheme.
Detailed tables, concerning the list of significant pathways in MSigDB C5 collection obtained by RS-SNP and GENGEN methods, are reported in the additional file 2. To evaluate and compare the computational cost of RS-SNP and GENGEN we used a computer equipped with two quadcore 2.67 GHz processors, 24 Gbyte of RAM, working under Linux OS.
In simulation 4, we run another Monte Carlo simulation to evaluate the exact computational cost of our proposed method.
An example of the corresponding similarity structures is given in Figure 2. To evaluate the typical computational costs of GraphAlignment and Græmlin, we generate pairs of symmetric random networks of the same size, N∈[50,10], and the corresponding similarity structures.
However, in situations related with (optimal) acoustic design, the need to evaluate multiple simulations may increase the computational cost.
Once algorithm performance improvements were verified, the energy consumption over a scheduled lighting demand was measured under different test conditions as to evaluate potential savings whilst minimizing the computational cost of running the algorithm.
To alleviate the computational cost to evaluate the target properties, we employ the compressive sensing method to compute the coefficients of the dominant gPC terms given the prior knowledge that the coefficients are "sparse".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com