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Coherent Vortex Simulations (CVS) are performed by decomposing the flow variables into coherent and incoherent contributions.
The POD gives us the overall view of the most energetic flow pattern in an ensemble by decomposing the flow field into spatial and temporal modes, while two-dimensional wavelet transform gives us the localized spatial information through scale wise decomposition of the flow field.
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By decomposing the flows within Q so as to exploit symmetries, we derive a spectral method that solves the ADE over Q three orders of magnitude faster than other methods of similar accuracy.
By decomposing the global power flow into a single transmission power flow master sub-problem and multiple distribution power flow sub-problems, this method addresses the above challenges effectively.
Stability of the overall scheme is established based on the small gain theorem, and by decomposing the synthesis problem for the distributed information flow filter the problem size is reduced to that of a single agent.
The DPR can also estimate the relative strengths of genetic drift and gene flow for each sample, by decomposing the regression of the pairwise genetic and geographic distances (Rousset 1997).
Based on the analytical results, we provide a practical solution by decomposing the original design problem into two sub-problems, which are the flow partition problem and the scheduling problem.
By decomposing the concentration index of the Ln odds CHE, the socioeconomic-related inequalities were decomposed into relative contributions of each determinant.
The inorganic fraction was determined by decomposing the composites at temperatures up to 900°C.
The wavelet method can avoid these defects by decomposing the series in scale and frequency simultaneously.
Inequality can be further explained by decomposing the concentration index into its determining components.
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