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Several model properties are developed and utilized to design a B&B solution algorithm.
The model properties are studied, including equilibrium points, stability, and slow/fast dynamics (three different time scales).
Second, robustness as well as system and thus model properties are often itself inherently uncertain, such as qualitative (i.e., nonquantitative) descriptions.
An iterative approach is taken to systematically and gradually reduce the level of information used in parameterizing a geological model, from which conditional stochastic realizations of model properties are generated and simplified reservoir models are developed.
Based on mean response data for simulated ground motions, response reduction efficiency of supplemental viscous damping in the simplified models, and the influence of various model properties are investigated.
Minimax model properties are developed and parametric analysis of the risk threshold connects this model to expected value along a continuum, revealing an efficient frontier segmenting investors by risk preference.
Similar(53)
In this work a functional relation (meta-model) between the uncertain structural parameters and the model properties is presented.
All but two of the model properties were taken from the literature, with the remaining two determined through a comparison of numerical and physical experiments.
Model properties were studied through the analysis of theoretical scenarios and by simulation of different mortality parameter combinations in a realistic setup, imposing environmental measurements.
After compiling to a human-readable format like PDF, an overview of all model properties is provided, including initial values of the species, parameter values, event assignments, rate laws for each species and so forth.
Results of decidability and tree model property are given as well as specific properties for the modalities.
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