Sentence examples for minimal iteration from inspiring English sources

Respondents in the Netherlands study showed a greater tendency to complete tasks with minimal iteration (that is, using a very small number of iterative steps), thereby failing to use much of the Life B scale that was available to them.

The results show that the range of the minimal iteration count according to the SNR will be from 1 through 10, and the difference in the iteration counts for each SNR value is on average less than 3. Therefore, the proposed low-power method cannot only work correctly, but also reduce the power consumption even if the error occurs in SNR estimation.

With the predictive capability enabled by the model, equipment and algorithm selections can be made in a more directed fashion, reducing the initial design and development costs by delivering a hardware configuration that is close to an ideal one with minimal iterations.

Table  2 shows that the actual content of the sample can be closely estimated using CensuScope with a fraction of the reads and minimal iterations.

The implementation team's familiarity with the software's strengths and weaknesses was also a factor that contributed to the selection of the software, as it enabled rapid implementation and minimal software iteration.

This pattern repeated until one of the stop conditions (maximal number of iterations, minimal gradient value or minimal cost function value) was reached.

Figure 9 b indicates that the KLD decreases until having a minimal variation starting from iteration 4 (corresponding to the stopping iteration) on the CUHK_Square dataset.

Based on the cone theory and monotone iterative technique, we establish the existence of minimal nonnegative solution and iteration of positive solutions for such a boundary value problem.

The topology optimization procedure uses self-similar iteration until minimal mass is achieved, and this problem is completely solved, with global optimal solutions given in closed form.

The overlapping SGP proposal may also offer significant PAPR reduction on the first iteration with minimal BER degradation.

If the result meets termination criterion (value of minimal objective function or maximum iteration number), the algorithm stops, otherwise, go to step 2.  .