Sentence examples for generate combinations from inspiring English sources

The model was verified using a nearly orthogonal experiment design where the input parameters were varied randomly to generate combinations not previously considered.

Arturo Evening's short video is based on the random visual selections of a piece of code, which can generate combinations of color and shape specified for any amount of time.

The goal is to generate combinations of values to schedule either easy or difficult tasks, adjusting the sessions to the patient's specific needs.

The object of this multiplayer game is to create witty phrases that fit randomly generated combinations of three to seven letters.

In this approach, the most probable damage locations are evaluated under Bayesian inference by generating combinations of various possible damaged elements.

This strategy is used because its implementation is simple, the algorithm can be extended to support more parameter combinations and its number of generated combinations is similar to other strategies [19, 27].

Flow-induced vibration of the U-tubes causes wear to occur on the zone of contact and generates combinations of impacting and sliding motions between the U-tube against the support [11, 12, 13, 14].

In algebra, by contrast, new variables can be combined productively to create novel sub-expressions; indeed, in the current study, letters were chosen randomly from the alphabet, generating combinations that participants may have never before encountered.

The key difference between these methods is that the lab studies examine interactions between artificially generated combinations of mutations, whereas clinical studies examine interactions between mutations that were naturally assembled into combinations.

Although individual genes or ab initio generated combinations of genes may be predictive of phenotype or ecological role (e.g. MacDonald & Beiko, 2010), analyses that treat genes as uncorrelated entities will not always succeed in identifying important functional traits.

The subsequent experiment consisted of 10,000 simulations with randomly generated combinations of external input node dosages during which the activity (percentage ON) of the four aforementioned output nodes was measured.