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In the contribution, we are concerned with the exact interpolation of the data at nodes given and also with the smoothness of the interpolating curve and its derivatives. This task is called the problem of smooth approximation of data. The interpolating curve or surface is defined as the solution of a variational problem with constraints. We discuss the proper choice of basis systems for this way of approximation and present the results of several 1D numerical examples that show the quality of smooth approximation.
Segeth, Karel. "Smooth approximation and its application to some 1D problems." Applications of Mathematics 2012. Prague: Institute of Mathematics AS CR, 2012. 243-252. <http://eudml.org/doc/287766>.
@inProceedings{Segeth2012, abstract = {In the contribution, we are concerned with the exact interpolation of the data at nodes given and also with the smoothness of the interpolating curve and its derivatives. This task is called the problem of smooth approximation of data. The interpolating curve or surface is defined as the solution of a variational problem with constraints. We discuss the proper choice of basis systems for this way of approximation and present the results of several 1D numerical examples that show the quality of smooth approximation.}, author = {Segeth, Karel}, booktitle = {Applications of Mathematics 2012}, keywords = {smooth approximation; variational problem with constraints; numerical example; interpolation of scattered data; rational function interpolation}, location = {Prague}, pages = {243-252}, publisher = {Institute of Mathematics AS CR}, title = {Smooth approximation and its application to some 1D problems}, url = {http://eudml.org/doc/287766}, year = {2012}, }
TY - CLSWK AU - Segeth, Karel TI - Smooth approximation and its application to some 1D problems T2 - Applications of Mathematics 2012 PY - 2012 CY - Prague PB - Institute of Mathematics AS CR SP - 243 EP - 252 AB - In the contribution, we are concerned with the exact interpolation of the data at nodes given and also with the smoothness of the interpolating curve and its derivatives. This task is called the problem of smooth approximation of data. The interpolating curve or surface is defined as the solution of a variational problem with constraints. We discuss the proper choice of basis systems for this way of approximation and present the results of several 1D numerical examples that show the quality of smooth approximation. KW - smooth approximation; variational problem with constraints; numerical example; interpolation of scattered data; rational function interpolation UR - http://eudml.org/doc/287766 ER -