'set of approximations' is correct and usable in written English.
It is typically used to refer to an estimate or a prediction that is based on incomplete information. For example, “We used a set of approximations to calculate the projected budget for the upcoming year.”.
We think of a point as a set of approximations.
A new set of approximations to the standard TEOS-10 equation of state are presented.
Finally, a set of approximations of three different experimental textures determined with this solution scheme is presented and discussed.
Within each of these, a short wave asymptotic analysis is carried out, resulting in a set of approximations which provide explicit relationships between phase speed and wave number.
First, we implement ANFIS (Adaptive Neuro-Fuzzy Inference System) on the set of grid intersection crisp data points and derive a coherent set of approximations per each potential discrete location and evaluation criterion.
In every generation, a new set of approximations is built by the process of selection of the best member based on their fitness degree within the range of the problem and by reproduction via operators derived from natural genetics.
The set of approximation functions accounted for the spectral properties of the sought sources.
A set of approximation algorithms are used to find the proper labeling and coloring scheme that maximizes some utility function.
The set of approximation coefficients is then itself split into a second-level approximation and detail coefficients, successive details are never reanalyzed, and the process is repeated.
This results in one set of approximation coefficients and three sets of detail coefficients, as shown in Figure 1(a), where,, and represent the horizontal, vertical and dialog directions of the image, respectively.
We establish new rigorous upper and lower bounds for the network complexity in the setting of approximations in Sobolev spaces.
