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Solution of a boundary value problem is often realized as the application of the
Galerkin method to the weak formulation of given problem. It is possible to generate a trial space by means of splines or by means of functions that are not polynomial and have compact support. We restrict our attention only to RKP shape functions and compactly supported wavelets. Common features and comparison
of approximation properties of these functions will be studied in the contribution.
Mošová, Vratislava. "Shape functions and wavelets - tools of numerical approximation." Programs and Algorithms of Numerical Mathematics. Prague: Institute of Mathematics AS CR, 2013. 149-154. <http://eudml.org/doc/271255>.
@inProceedings{Mošová2013, abstract = {Solution of a boundary value problem is often realized as the application of the
Galerkin method to the weak formulation of given problem. It is possible to generate a trial space by means of splines or by means of functions that are not polynomial and have compact support. We restrict our attention only to RKP shape functions and compactly supported wavelets. Common features and comparison
of approximation properties of these functions will be studied in the contribution.}, author = {Mošová, Vratislava}, booktitle = {Programs and Algorithms of Numerical Mathematics}, keywords = {RKP shape function; wavelets}, location = {Prague}, pages = {149-154}, publisher = {Institute of Mathematics AS CR}, title = {Shape functions and wavelets - tools of numerical approximation}, url = {http://eudml.org/doc/271255}, year = {2013}, }
TY - CLSWK AU - Mošová, Vratislava TI - Shape functions and wavelets - tools of numerical approximation T2 - Programs and Algorithms of Numerical Mathematics PY - 2013 CY - Prague PB - Institute of Mathematics AS CR SP - 149 EP - 154 AB - Solution of a boundary value problem is often realized as the application of the
Galerkin method to the weak formulation of given problem. It is possible to generate a trial space by means of splines or by means of functions that are not polynomial and have compact support. We restrict our attention only to RKP shape functions and compactly supported wavelets. Common features and comparison
of approximation properties of these functions will be studied in the contribution. KW - RKP shape function; wavelets UR - http://eudml.org/doc/271255 ER -