The phrase "a computational setting for" is correct and usable in written English.
It can be used when discussing the context or environment in which computational processes or analyses take place.
Example: "The researchers developed a computational setting for simulating complex biological systems."
Alternatives: "a computational framework for" or "a computational environment for".
While these designs may offer optimal performance in a computational setting, it is not uncommon for them to be impractical or unrealizable from engineering or fabrication points-of-view.
With a computational complexity for detector set generation of O(n3), where n = the initial detector set size, SDM requires significantly more resources than the standard AIS and mAIS without SDM, where detector set generation has a computation complexity of O(n).
The paper divides the ISR into four logical phases: setting a computational architectural diagram for each phase, proceeding from functional perspectives (input, process, and output), and their consequences.
We have identified the key relaxation mechanisms responsible for relaxation in this long-time regime and set up a computational methodology for predicting the singlet relaxation rates with good accuracy.
The models were run with identical inlet and boundary conditions using the same grid resolution; the choice of the specific computational set-up reflects demands for fast-response models, although it may be a sub-optimal choice for the more complex models.
But the large measured data set brings in a computational burden for the forward problem and inverse problem of FMT.
The purpose of the study is to set out and justify a computational framework for Bayesian inference in plasticity models characterisation (CBPC).
In the dnet package, the function 'dGSEA' implements a computational method for determining whether a gene set (for example, genes in the patient-survival gene network) appears randomly in a pre-ranked gene list or has a tendency to be at the top (or bottom) of this ranked list.
It is noticeable that throughout the various IOP cases examined, and under the specific computational set-up used in the simulations for fast-response needs, there is no clear superiority of one model over another.
Our clustering-by-region approach is convenient to select genes from a large set for computational regulatory network modeling.
