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We first discuss a steady-state model, formulate it as a nonlinear binary integer program, and propose a rule-based heuristic.
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We present the mathematical formulation to complete an FBA model, formulated as a mixed integer linear program given the try-sets and fixed-sets.
The model formulates the channel impulse response (CIR) as [20] (37).
The model formulated and tested in previous sections allows us to compute forecasts of future seismicity.
The model formulated as a multi-objective mixed integer linear programming.
The dynamic Smagorinsky model formulated by Germano et al. was used to model the subfilter scales.
The model formulated is an error posture model, that depends on current and reference posture.
Secondly, an optimization model, formulated to specifically address the discussion comparing both configuration paradigms.
Dynamics of the cylinder was described using the mathematical model formulated by E.W. Gerc.
Markov Random Field (MRF) model formulates the problem of dense matching as a Bayes decision task.
The compositional profiles were analyzed with a diffusion model formulated for a polydisperse system.
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