Sentence examples for evaluations required for a from inspiring English sources

This heuristic results in comparable estimates for the evidence (see Figure S1 in the Additional file 1) and reduces the number of likelihood calls to 54 82% of the evaluations required for a fixed step size in tests on 5, 10, 20 and 30 dimensional Gaussian likelihood functions (standard problems for which the solutions are known), as can be seen in Additional file 1: Figure S2.

The structural reliability evaluations required for the Bayesian updating are carried out by means of subset simulation, an efficient adaptive Monte Carlo method.

The performance of the optimizers has been quantified in terms of the total number of lower level function evaluations required for convergence (i.e., for the upper level termination criterion to be satisfied).

Nevertheless, the outcome achieved is very much similar to the previous case where M-BLEA is found to considerably outperform N-BLEA by saving more than 50%% of the lower level function evaluations required for convergence.

As can clearly be seen in Table 1, the performance of the M-BLEA isignificantlyly superior in comparison to N-BLEA with respect to the number of lower level function evaluations required for convergence.

In Tables 2 and 3, we compare the maximal number of objective function evaluations required for the different algorithms when solving all of the test problems.

Patients who did not experience a DLT in Cycle 1 were observed for ≥28 days after the first dose, and completed all safety evaluations required for dose-determining decisions.

Since the strength of a ceramic material depends on its geometric form, etc., the strength evaluation method required for a pressure design is not established.

This group (nine students) had to be removed from the study because a minimum of four evaluators per student is required for a reliable evaluation.

This paper describes a new approach for reducing the number of the fitness function evaluations required by a genetic algorithm (GA) for optimization problems with mixed continuous and discrete design variables.

Evaluation of the long-term effect of FFDM on the screening performance indicators within a cohort perspective is required for a complete evaluation of screening.