The modeling approach is complemented with other modeling techniques such as artificial neural networks (ANN) to overcome a number of modeling difficulties.
Also, special modeling techniques such as tie constraint and sub-modeling have been used to model an intermetallic layer titanium-carbide (TiC) with dimensions in nanometers, where the rest of the model's dimensions are in millimeters.
Verification of compliance depends heavily upon synthetic modeling techniques such as PRA.
We also integrate a superstructure optimization with stochastic modeling techniques such as continuous-time Markov chains.
For this purpose, different modeling techniques such as Lagrangian and coupled methods are used.
My research is both applied, working with decision makers in diverse contexts, and cross-disciplinary, drawing from literatures in operations management, marketing, and judgment decision theory, combining a number of modeling techniques such as simulation, optimization, econometrics and nonlinear dynamics.
Thinking about the PTOA and the various ways in which modeling techniques such as the ones we recommend might improve it provides an interesting overview of the problems of legislative finding aids in general.
Molecular modeling techniques such as 2D-QSAR and 3D-QSAR analysis were applied to establish models to distinguish potent and weak CETP inhibitors.
A number of methods have been developed, based on chemical kinetics and constraint-based modeling techniques such as flux balance analysis, as well as network-based methods.
Students will engage in in-depth study of disease detection and control strategies from a "systems science" perspective, which involves the use of common engineering, operations research, and mathematical modeling techniques such as optimization, queuing theory, Markov and Kermack-McKendrick models, and microsimulation.
Different from other hazard modeling techniques such as normal linear regression model, the approach does not require any distribution assumption for the hazard model, and can be applied for a wide variety of distribution models.
