The phrase "approximation power" is correct and usable in written English.
It can be used in contexts related to mathematics, computer science, or any field where the concept of approximating values or functions is relevant.
Example: "The approximation power of this algorithm allows it to provide near-exact solutions in a fraction of the time."
Alternatives: "approximation capability" or "ability to approximate".
This paper explores the approximation power of Moving Least-Squares (MLS) approximations in the context of higher-order finite volume schemes on unstructured grids.
Because of approximation power of the neural network, the inverse problem has been resolved, and the treatment program for coating removal has been generated.
Finally, it is shown that the high approximation power of the multi-level hp-scheme also carries over to curved geometries common in engineering practice without a significant detrimental effect on the conditioning of the stiffness matrix.
This is to be expected as the many copies of the flat atom, we have seen in Figs. 5 and 6, essentially reduce the size and with it the approximation power of the dictionary.
For the subdivision schemes, pseudo splines provide various choices that meet different demands for balancing the approximation power, the length of the support, and the regularity of the limit functions.
On the other hand, compared to BPFA, we observe similar computational complexity but a much higher consistency between the dictionaries learned from corrupted and uncorrupted data, which is also reflected in the better approximation power of the dictionary and inpainting performance, especially for middle and low corruption levels.
Rigorous bounds (Voigt Reuss and Hashin Shtrikman bounds) are given as well as model relations for prediction and fitting purposes (dilute approximations, power-law relations, exponential relations, Coble Kingery relations and new relations recently proposed by the authors).
This approximation gives power law only for nodes with weights (w le frac{theta }{w_0}).
To show the proposed demonstrating system, a self-organizing distributed algorithm for dynamic approximation of power utilization in organized customer electronic gadgets is additionally exhibited.
In this way the linear approximation of power flow through time invariant ({varvec{varLambda}}) can be adapted to the state and model drifting.
The above result implies that at a local optimum, using the Gaussian approximation, the power levels (for each quantization region) for all channels are identical, which is identical to the EPPC scheme.
