Sentence examples for section benchmarking from inspiring English sources

As we have seen in section 'Benchmarking', radix sort can become slow for certain inputs, and therefore faster solutions are desirable.

Nvidia is usually faster in Fallout 4 and it's no exception here using a simple play-through section benchmark.

A total of 35 salient PME features were selected in order for fair comparisons to be made with the benchmark parameters (see Section 'Benchmark parameters'); such dimensionality is inline with those reported in the literature (e.g., [50]).

Frames of 5 s duration are used in order to obtain accurate resolution in the new so-called modulation frequency domain and to keep consistency with the benchmark parameter described in Section 'Benchmark parameters'.

As mentioned in the Background section, that benchmarking accounts for the three most widely known families of validation measures: namely, those based on (a) hypothesis testing in statistics; (b) stability-based techniques and (c) jackknife techniques, in particular, the Gap Statistics for category (a); CLEST [ 22], Model Explorer [ 23] and Consensus for category (b) and FOM for category (c).

This "test-section benchmark" simulates the conditions experienced by the hottest rod within the conceptual design of the facility's test section, modeling the steady-state conduction in a rod heated internally by a cosinus-like heat source, as typically encountered in nuclear reactors, and cooled by forced convection to a surrounding coolant flowing along the rod.

The PM_CMPS methodology then constructs the posterior distribution using Bayes' theorem, and subsequently evaluates it via saddle-point methods to obtain explicit formulas for the predicted optimal temperature distributions and predicted optimal values for the thermal-hydraulics model parameters that characterized the test-section benchmark.

A more detailed analysis of POTION's behavior when executed in parallel mode can be found in the " Parallelization benchmarking" section.

The mean squared rank was chosen based on a survey of statistical approaches for gene set analysis [ 34], and out-performed other summary statistics in a series of classification benchmarks based on tissue-specific pathway expression (see benchmarking section below).

"Analyzing the benchmark" section presents some benchmark results of OSSperf and explains how to analyze them.

Results from the delta algorithm outlined in Section 2 were benchmarked against the results of ARIMA models applied to the same dataset.