The phrase "a function consisting of" is correct and usable in written English.
It can be used when describing the components or elements that make up a particular function in mathematics, programming, or other contexts.
Example: "The algorithm includes a function consisting of several key operations that process the input data."
Alternatives: "a function made up of" or "a function composed of".
The notion of localization in orientation that arises indicates that a function consisting of a set of parallel stripes, independently on their widths, is maximally localized in orientation, while a function that is circular symmetric around q is minimally localized.
Tobita and Akashi (2015) first proposed that the postseismic deformation due to the 2011 Tohoku earthquake can be well reproduced by a function consisting of logarithmic and exponential functions.
A function consisting of a linear trend and seasonal sinusoidal terms is fitted to the interseismic time series to approximate the pre-earthquake trends to account for non-tectonic seasonal deformation and the interseismic locking (Additional file 1: Figure S1).
Transients of force relaxation were fitted to a function consisting of a linear (kLIN, tLIN) and an exponential term (kREL), starting at the time of Ca2+ removal.
The model as described here comprises two main components: the baseline hazard, which is described by a spline function consisting of a constant value and a function of log-time, and the covariate vector, which modifies risk based on the subject's covariate values.
A load function consisting of a ten-second loading to peak force segment, followed by thirty-second hold and a ten-second unloading segment50 was used.
The strength of each alignment is determined by a scoring function consisting of a sum of all residue-residue contacts.
QMEAN is a scoring function consisting of a linear combination of six structural descriptors as described elsewhere in more detail (Benkert et al., 2008, 2009).
For a given control structure the parameters are found which minimize an objective function consisting of a weighted sum of deviations between desired and obtained values of these objectives.
We then show that minimizing an objective function consisting of a negative Poisson log likelihood term and a penalty term which could be used as a measure of signal sparsity results in near-minimax rates of error decay.
We formulate an energy function consisting of an external energy term and an internal energy term.
