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The phrase "a large set of values" is correct and usable in written English.
It can be used when referring to a significant collection of numerical or qualitative data points in various contexts, such as statistics, research, or programming.
Example: "In our analysis, we found a large set of values that indicated a strong correlation between the variables."
Alternatives: "a significant collection of values" or "an extensive array of values."
Exact(2)
Therefore, in a practical implementation, the minimization of (23) does not require a long search over a large set of values; it simply corresponds to a look-up table.
In this study, a large set of values of the variance of the latent variable and item parameters are examined to evaluate the impact of a misspecification of these parameters.
Similar(58)
Based on this similarity specification, we derive a clustering of the active domain of each relaxation attribute A in a relation instance F. We rely on a very general definition of a clustering as being a set of subsets (the clusters) of a larger set of values.
In the next corollary we extend the statement (d) from Lemma 1 to a large set of A values.
(3 6), were obtained by the authors [7] using statistical analysis of a large set of experimental values.
We addressed this point by testing a large set of hypothetical values for virus inactivation rate in water (from 7 to 207 days, [29], [30]).
However, a large set of different values of λ can be evaluated in one step at nearly the same costs of evaluating a single value of λ.
Ideally, we would like to apply the test to the sequence of F and S sites, but it is unlikely that both types of sites are present in the same DNA alignment for a large set of parameter values combinations (differentiation level and recombination rate).
A simple and effective approach is to presolve this problem for a suitably large set of values of the channel gain and store the resulting tables of individual flow rates versus ; online we can interpolate between points in the table to find the (nearly) optimal policy.
Criteria to evaluate the accuracy of the estimated density turns out to be important whenever the raw data do not show a sufficiently large set of values.
The insensitivity of cooperativity parameters led us to test a large set of different parameter values, which revealed that multiple parameter sets with different biological interpretations produced satisfactory correlations between the experimental data and the model output.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com