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Spatial population models typically simulate birth, death, and migration on an input map that describes habitat.
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Occupant models were typically simulated as discrete-time Markov processes.
The problems typically simulate organizational situations in which interpersonal behavior affects task performance.
Isothermal, well-mixed systems can be modelled as Markov processes, typically simulated using the Gillespie Stochastic Simulation Algorithm (SSA) [25].
Estimated models were considered most appropriate if they typically simulated historical behaviour.
To move beyond the 'average patient' that is typically simulated by molecularly-detailed mechanistic computational models, we have integrated mechanistic simulations with high-throughput data to create a population of tumor models that can simulate variability in receptor activation and response to treatment.
The dynamic behavior of subsurface multi-phase porous media flow is typically simulated with large-scale nonlinear numerical models, containing up to millions of state variables and parameters.
Models typically contain catalogues of numerically simulated hazard events with associated probabilities that are combined with vulnerability functions and insured portfolio information to calculate loss statistics.
But such models typically carry out complex computations to simulate climate processes across hundreds and even thousands of kilometers.
In drafting and evaluating their emissions-reducing plans, policymakers typically use models to simulate the amount of mercury that would remain in the atmosphere if certain measures were taken to reduce emissions at their source.
Astrophysicists use these kinds of models to simulate how stars form.
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