Sentence examples for problem configuration from inspiring English sources

Its effective use lies in interpreting the data collected from a nanoindentation experiment with an associated analytical/numerical solution of the corresponding problem configuration.

A weighted fuzzy mathematical programming approach is utilised for generating a fuzzy, properly efficient solution as the desired compromised solution for the CLSC network problem configuration.

A higher degree of interactivity elevates performance; however, it is not possible to apportion the relative contribution of the changing problem configuration and complementary actions (such as pointing) to the performance improvement with the procedure employed in the present experiment.

Further simulations are then carried out for a second mixing problem (configuration of Wei and Garside (Chemical Engineering Research & Design 75(A2), 219 227)), for which numerical results are available.

We propose that a higher degree of interactivity elevates performance in part because it creates a dynamic problem configuration that not only lightens the load, but also leads to the creation of congenial interim sums and to physically segregated categories of elements (such as those counted, those yet to be counted).

However, a participant's action and engagement with the task in the high interactivity condition may create a series of changes to the problem configuration that chart a singular and contingent spatiotemporal trajectory that benefits the participant qua agent much more than a passive observer.

The procedures in this work provide a method for the verification of complex boundary conditions as well as shed physical insight for different problem configurations.

(i) Only cell-centered adjacent-cell preconditioners (AP) are considered; nevertheless numerical experiments with face-centered preconditioners of the diffusion synthetic acceleration (DSA) type on problem configurations with sharp material discontinuities suffer similar deterioration in spectral properties.

The results with different problem configurations demonstrate the effectiveness and efficiency of the proposed genetic algorithm and also demonstrate that the GA performs relatively better when the LOX (two-point linear order crossover) operator and the swap mutation operator are used.

The number of tasks to be performed is very large and in a distributed environment there are many reasons that individual jobs may fail (Worker Node problems, site configuration, problems due to middleware failures, etc).

Any bug or problem in the application may be the result of network problems, configurations, unavailability of services, backend data, etc.