Sentence examples for a suitable set of functions from inspiring English sources
The main advantage of employing the Petrov-Galerkin method is its flexibility in choosing test functions, since we can choose a suitable set of functions that is not identical to the set of trial functions.
A suitable set of trial functions is proposed.
(2) We formulate a suitable set of basis functions and build the matrix formulation for the discrete variational scheme by means of the tensor product.
Then we have formulated a suitable set of basis functions included in (H^{1}_{0}(Theta cap H^{2}(Theta)) and built the matrix formulation for the discrete variational scheme by means of the tensor product.
Then we build a suitable set of basis functions included in (H^{1}_{0}(Omega cap H^{2}(Omega)) and establish the matrix model for the discrete spectral-Galerkin scheme by adopting the tensor product.
In the first case, which involves the usual second modulus, we obtain the exact constants when (mathcal{A}(mathbb {R})) is the set of convex functions or a suitable set of continuous piecewise linear functions.
The system is validated by a suitable set of constraints on selection functions, and these constraints can be rationalized under either interpretation of the selection function.
Its Green function is a reproducing kernel for a suitable set of Hilbert space and an inner product.
This limitation becomes significant when considering multi-objective optimization functions in which the objective function is dependent on subjective parameters, resulting in the need to carry over several experiments to determine a suitable set of parameters.
A compact model shows that the basic functions of the EEPROM cell, namely reading, programming and erasing are possible with a suitable setting of the applied voltages.
Because cliques larger than some reasonable size N are typically ignored, modeling is accomplished by choosing a suitable set {Φ1, Φ2, … Φ N} of potential functions for different clique sizes; the λ is and any additional parameters of the Φ's can be trained discriminatively via cross validation.
