Sentence examples for multiple model runs from inspiring English sources

Agent-based modeling studies often require multiple model runs to cover different scenarios and to account for stochastic variation.

The software outputs a crop allocation solution with a crop for every field for every year, respecting all user-defined constraints; the range of potential solutions can then be explored through multiple model runs.

Results demonstrate that multiple model runs can give forest planners insight regarding tradeoffs between spatial management objectives and other management objectives for areas as large as a national forest.

The presence of agent and landscape heterogeneity, stochastic processes, and path dependence require multiple model runs, and the expression of spatial dispersion of housing types, overall housing density, and land prices over time in terms of the most likely, or 'average', patterns.

Multiple model runs can be used to assess the probability of the various outcomes.

By generating plausible outcomes from multiple model runs, the simulation model serves as a virtual laboratory for exploring the spatial and temporal diffusion of these processes.

Because the model is stochastic, multiple simulation runs were performed for both scenarios in order to capture the uncertainty in the results.

The use of such models is often not feasible for the design of coastal structures, which often requires multiple iterations and model runs over a reasonably long period of time (e.g. wave trains with 1000 individual waves).

We ran multiple model sets for Telopea as a whole and for each Telopea species to determine consistent geographic extents between models and consistently dominant climatic factors [ 47].

To provide more useful automated quantitative ashfall forecasts from a HYSPLIT/WRF system that account for uncertainty in the NWP winds and eruption parameters, we could follow the example of high resolution NWP and use an ensemble of model runs based on multiple NWP forecasts and a range of eruption parameters.

The development of complex simulators with multiple simulation models running in a distributed way is a difficult task where communication plays a main role, particularly in cases where real-time constraints exist.