The phrase "a function of configuration" is correct and usable in written English.
It can be used in contexts related to systems, processes, or variables where the outcome or behavior is influenced by the arrangement or setup of components.
Example: "The performance of the software is a function of configuration, meaning that different settings can lead to varying results."
Alternatives: "dependent on configuration" or "determined by configuration".
Palmer's analytical solution for general reconfiguration is adapted to maneuvers between projected circular orbits, resulting in the optimal fuel consumption index as a function of configuration parameters such as orbit radius, phase angle, and transfer time.
We show that the FEL can be defined as a function of configuration so that the probability of finding a configuration {Ri} is in proportion to exp[−Φ(T,V,N,{Ri})/kBT], where Φ(T,V,N,{Ri}) is the free energy for a given configuration {Ri}.
We organize the job execution times of the experiments, presenting them graphically as a function of: Grid configuration, region and ensemble member; Region, ensemble member and HPC cluster, per grid configuration; The number of jobs processed by each computational grid configuration and HPC cluster.
Here the integral kernel, (mathbb {K}_{xi } : ([!0, infty) times S ^{2} to mathbb {R}), is a function of initial configuration ξ and is called the correlation kernel. The main theorem of the present paper is the following.
The normalized load-sharing model for inclined micropiled rafts was proposed with the modified load capacity interaction factor and design equations as a function of micropile configuration and inclination angle.
As is clear from Figure 3A C, the correlations were stable in the linear reference frame but decayed rapidly as a function of track configuration changes in the 2D reference frame.
Notice also that the interference plus noise covariance matrix is a function of the receive configuration of the link and the transmit configurations used in the network.
(3) The HCM and German models consider capacity as a function of the roundabout configuration in terms of the number of lanes at entry and in circle.
The model is able to predict high actuation levels (angles of curvature ≈ 180°) and the bidirectional shape-memory behavior of the device as a function of the thickness, configuration of the layers, and the LCN stretching level.
Moreover, this conclusion is follows immediately from the very meaning of an experiment from a Bohmian perspective: a coupling of system to apparatus leading to a result Z that is a function of the final configuration of the total system, e.g., the orientation of a pointer.
Similarly to the previously described industrial approaches, in this work, we focus on the application of ML to improve SON functionalities by providing a more accurate estimates of the key performance indicators (KPIs) as a function of the network configuration.
