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We believe modeling this problem formally can clarify the issue as well as clearly identify the boundary of current technology.
The univariate model was adopted as a benchmark against which the more complex multivariate models were compared to see if they improve forecast accuracy and provide more insights into better ways of modeling this problem.
We conduct a framed laboratory experiment modeling this problem: farmers decide on the usage of conservation technology to lessen impacts on the water quality (i.e. on the commons, the capacity to absorb these wastes) in downstream areas, which is more costly than the alternative intensive technology.
Instead of mathematical modeling, this problem can be approached more fruitfully from a different dimension, taking advantage of the enormous power of contemporary supercomputers.
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A nonlinear Mathieu equation is used to model this problem.
We use two game theory approaches to model this problem; Stackelberg manufacturer and Stackelberg retailer.
Based on the interference graph, a coalitional graph game framework was proposed to model this problem.
Based on Symptom-Action bipartite graph, we can model this problem as WSC problem to solve it [26].
To find the optimal solution, we therefore model this problem as maximum weighted matching in general graphs.
To model this problem, a fuzzy chance constrained programming model of that is designed based upon the fuzzy credibility theory.
To model this problem as a regression model, we write the disease gene network as a linear combination of the drug-gene subnetworks.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com