Combining spectral proper orthogonal decomposition and phase-averaging techniques provides methods for delineating ...

Trading flows affect Government of Canada bond prices. Our estimates suggest a sale of 1% of the available supply of bonds ...

Accurate characterization of reservoir flow fields is critical for enhancing oil recovery in water flooding oil fields. Current methodologies lack standardized criteria for selecting influential ...

Specifically, annual data from the statement of cash flows for all crop farms were summarized. Table 1 contains the average, standard, deviation, and coefficient of variation (standard deviation ...

To remedy these shortcomings, we explored dynamic mode decomposition (DMD), which is a recent, data-driven method for deriving low-rank linear dynamical systems from high dimensional data.

Influenced by the complexity of multimodal data exchange scenarios and their differences in data flow graph construction, the objective basis of existing service decomposition methods is not ...

A combination of established input–output methods (index decomposition analysis, hypothetical extraction method, and footprint analysis) is used to dissect the drivers of the change in the upstream ...

Moreover, these properties enable the decomposition of the MCMF algorithm without sacrificing optimality, and the decomposed multistage maximum-flow algorithm is significantly faster than the MCMF ...