Sentence examples for simulation of more from inspiring English sources
Moreover, simulation of more complex phenomena using modern numerical schemes can be tested by the presented closed-form formulae.
However the algorithm is flexible enough to be used for the simulation of more complex branched molecules.
Theoretical and practical aspects of this method are discussed, as well as new ideas to enable the simulation of more and more complex mixing systems.
For solving the population balance equation an efficient numerical technique is integrated to enable the simulation of more complex flows that are encountered in industrial applications.
This implies that a simulation of more than one million transistors, even for a few clock cycles, requires times that are usually not affordable and anyway not practical for the high-level power characterization [2].
Numerical S N curves have been compared with experimental fatigue tests, and good results have been obtained that permit the methodology performed to be applied for simulation of more complex joints subjected to fatigue loads.
Similar results are obtained using COSMOSAC and NRTL models for this binary aromatic aliphatic mixture indicating the reliability of the COSMOSAC-based simulations of more complex multicomponent naphtha separation.
The proposal is found to be safe and accurate through an extensive comparison with the results of FEM numerical simulations of more than 5000 beams.
This approximation is suitable for modeling the general circulation; however, implications of time delay due to the finite group speed of wave packets should be carefully weighted for simulations of more rapid processes.
These model limitations and extensions, including those not mentioned here, can be overcome by performing computer simulations of more complex systems; although this is required for understanding ASS in specific real systems, it is beyond the scope of this study.
Several of the approaches that are currently used for the analysis of the lymphocyte proliferation and death rely on the use of either simple models with analytical solutions (e.g., ODE models) or numerical solutions or simulations of more complex models (e.g., the Smith-Martin or cyton model).
