The phrase "a large set of parameters" is correct and usable in written English.
It can be used when discussing a collection of variables or factors that are relevant to a particular context, such as in scientific research, data analysis, or programming.
Example: "In our study, we analyzed a large set of parameters to determine the factors influencing the outcome."
Alternatives: "an extensive array of parameters" or "a significant collection of parameters".
Sometimes this is inconvenient, e.g., when many subroutines share a large set of parameters.
Object Kinetic Monte Carlo relies on a large set of parameters and reactions.
Typically a realistic IBM requires a large set of parameters to adequately represent the complexity of the clonal plant growth.
Performance behaviors in such IaaS Clouds are affected by a large set of parameters, e.g., workload, system characteristics and management policies.
For about a dozen different devices, we have measured a large set of parameters by means of a suite of tests.
The influence of the load speed is quantified for a large set of parameters, showing that the effect on the soil vibration is reduced with increase of the frequency, track width and inverse wave velocity.
In the context of model reduction, the requirements for the reduced model are that the projected system is a good approximation to the large scale system for a large frequency range, and also for a large set of parameter variations.
In this study, we use parameter values from these earlier studies as starting points for local optimization to obtain a large set of parameter estimates.
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).
By probing the resonator at two harmonic modes at the same time, enhanced sensing capabilities can be conveniently achieved because a larger set of parameters can be measured with a single sensor, thereby increasing the information content and accuracy.
Over-parameterization not only creates a larger set of parameters to be estimated, but also leads to poorly defined (high variance) coefficient estimates and surplus unvalidated content in the resulting model [2].
