Sentence examples for coarse basis from inspiring English sources

We use coarse basis functions construction that combines local spectral problems and a Reduced Basis (RB) approach.

With a careful choice of the coarse basis functions for multiscale finite element methods, we can significantly reduce errors.

In Problem (9), the unknowns are the coefficients c of the coarse basis.

Complexity reduction is achieved by expressing the reconstruction error in a coarse basis.

Additionally, as the slice is reduced on a coarse basis, there are (left( frac{N_2}{s} right) ^2 times N_p) non-zero values to store in this case.

We implement a method handling a reduced number of unknowns by expressing the image in a coarse basis in order to correct the cupping effect.

Adopting a coarse grained model, the first main task is the calculation of the electric field [4] (on the basis of given dipole arrangements).

We introduce a data-driven approach for the estimation of these coarse scale basis functions.

Several multiscale methods account for sub-grid scale features using coarse scale basis functions.

For example, in the Multiscale Finite Volume method the coarse scale basis functions are obtained by solving a set of local problems over dual-grid cells.

In work [9], the knowledge available as known zone values in the slice is translated in the coarse representation basis: a subset of Gaussian coefficients is fitted to values in the known zone (Omega); these coefficients are then used as a constraint for the reconstruction.