Sentence examples for Satisfactory setting from inspiring English sources
The accuracy of the proposed model was found to be satisfactory, setting this model a valuable tool for the design of the process operating profile for the production of different polymer grades with desired molecular properties.
It makes excellent sense of Fourier analysis, providing a satisfactory setting in which convergence questions are relatively unsubtle and straightforward.
The aim of such planning was to provide, at best, a satisfactory setting for the practical aspects of living.
The analysis shows, for the first time, that the distributed parameter theory of plane wave propagation in a perforated pipe provides a more satisfactory setting than the segmentation method for the analysis of the effects of axially varying quantities such as the mean flow velocity.
In the small hours of Monday morning, after beating Edmund in three satisfactory sets, Djokovic was still in denial.
The simulation results show that the proposed strategy can achieve satisfactory set-point tracking and disturbance rejection performance.
The design examples demonstrate that achieving good disturbance rejection in each individual loop in most cases guarantees satisfactory set-point response, and good decoupling.
To satisfy all these requirements, we propose an incremental algorithm for induction of a satisfactory set of decision rules and a post-processing technique on the generated set of rules.
It was considered necessary to get information on a wide spectrum of carbon fiber-reinforcement systems in order to provide a satisfactory set of experimental data for validating future suitable retrofitting design methods.
"In fact, I would say she has a lot of commitment to diplomacy and development, lubricated by personal relationships, which are sometimes called dovish – which shows that the hawk versus dove is not a very satisfactory set of boxes to put people in," Miliband said.
Instead of aspiring to a perfectly parameterized model, the goal of this design tool is to use early model parameter estimates to find interesting experimental spaces, and to refine the model parameter estimates with each new experiment until a satisfactory set of process parameters is found.
