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The coupling of these two methodologies is realized by a time-splitting method.
These two methodologies have similarities and differences; in this paper we clarify their roles.
A compromise between these two methodologies is represented by the use of data assimilation scheme to include sparse remote estimates of surface fluxes into continuous modelling.
Our approach combines the HDG methodology with geometrical optics in a fashion that allows us to take advantage of the strengths of these two methodologies.
Although the integration of these two methodologies has now started, in the future synergistic integration should enable many new opportunities for bioprocesses for the production of chemicals.
Although prior studies have examined the relationships between these two methodologies through similar experiments, they have produced conflicting results in the literature for a variety of reasons.
Similar(34)
Back-propagation artificial neural network and response surface methodology were used to investigate estimation capabilities of these two methodology and optimization acceptability of desirability functions methodology in an air drying process.
This study compares the noise levels obtained by these three methodologies at signalized intersections and roundabouts.
These three methodologies are compared; their advantages, disadvantages and limitations are analysed with the objective to provide decision-makers concerned with the success of an IT project with an understanding which will help them to identify the most suitable methodology in view of the project specifics and circumstances.
A comparison between these three methodologies in the integrative analysis of mRNA and protein abundance from a study of Plasmodium falciparum is included in this supplement [ 34].
However, there are no indications that these factors differentially influence the two methodologies.
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