Sentence examples for data on part of from inspiring English sources

In this work we present a comparison result for two solutions of the Laplace equation in a smooth bounded domain, satisfying the same mixed boundary condition (zero Dirichlet data on part of the boundary and zero Neumann data on the rest).

This means that training on sentence pairs will result in dynamically created lexicons containing both word forms (inflections) and lemmas (base forms) as well as data on parts-of-speech and function correspondences from those sentences.

This kind of problem consists in recovering missing displacements and forces data on one part of a domain boundary from the knowledge of overspecified displacements and forces data on another part of this boundary.

MH took on part of the data analysis.

Calculations for the spatial extent of bottom trawling were based on data from only one part of the OSPAR area - Hatton - Rockall.

In this paper, the method of fundamental solutions (MFS) is employed for determining an unknown portion of the boundary from the Cauchy data specified on parts of the boundary.

On the contrary, in our study, the collection of data on the part of a physician who had a direct knowledge of the workplaces and had had a long-term relationship with the workers increased the response rate and reduced the likelihood of inappropriate responses.

The collection of data on the part of a physician who was not a direct employee of the health care facility, but who had a direct knowledge of workplaces and had had a long-lasting relationship with workers, increased the response rate and reduced the likelihood of inappropriate responses.

We are interested in this paper in recovering an harmonic function from the knowledge of Cauchy data on some part of the boundary.

The results show weaknesses in the transfer of clinical information across care levels in the networks analyzed due to insufficient recording of data on the part of health professionals, especially in the transfer from primary care to outpatient secondary care.

We only know the noisy data on a part of the boundary or at some interior points of the concerned domain.