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This paper models this problem in a simple dynamic set-up.
In the repeated measures models, this problem was circumvented by using a survival indicator, i.e. dead (0) or alive (1) at a given time.
In systems biology models this problem is often multimodal (nonconvex), due to the nonlinear and constrained nature of the system dynamics.
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We model this problem in the space (X = L^{2}([0, pi])).
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.
We believe modeling this problem formally can clarify the issue as well as clearly identify the boundary of current technology.
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