summary:Interpolation on finite elements usually occurs in a Hilbert space setting, which means that interpolation techniques involving orthogonal projection are an alternative for the traditional Lagrange nodal interpolation schemes. In addition to the Lagrange interpolation, this paper discusses the global orthogonal projection and the projection-based interpolation. These techniques are compared from the point of view of quality, efficiency, sensitivity to input parameters and other aspects. Local optimality result for the projection-based interpolation is presented
Abstract. Lagrangian interpolation is a classical way to approximate general functions by finite sum...
Abstract. We analyse the error of interpolation of functions from the space H3(a, c) in the nodes a ...
In this paper, we present a new optimal interpolation error estimate in L-p norm ( 1 <= p <= i...
Interpolation on finite elements usually occurs in a Hilbert space setting, which means that interpo...
summary:Interpolation on finite elements usually occurs in a Hilbert space setting, which means that...
summary:Interpolation on finite elements usually occurs in a Hilbert space setting, which means that...
The quality of finite element solutions is improved by optimizing the location of the nodes within a...
AbstractIn this work we study a problem in bivariated interpolation associated with the Finite Eleme...
In this paper, we employ the projection-based interpolation algorithm for approximation of two-dimen...
AbstractOptimal p-interpolation error estimate is derived for the local, projection-based interpolat...
Sufficient conditions are provided for establishing equivalence between best approximation error and...
Interpolation estimates for finite elements are studied where the elements may have small or even la...
A Finite Element technique to interpolate general data (function values and its derivatives) has bee...
AbstractOptimal p-interpolation error estimate is derived for the local, projection-based interpolat...
Abstract. Lagrangian interpolation is a classical way to approximate general functions by finite sum...
Abstract. Lagrangian interpolation is a classical way to approximate general functions by finite sum...
Abstract. We analyse the error of interpolation of functions from the space H3(a, c) in the nodes a ...
In this paper, we present a new optimal interpolation error estimate in L-p norm ( 1 <= p <= i...
Interpolation on finite elements usually occurs in a Hilbert space setting, which means that interpo...
summary:Interpolation on finite elements usually occurs in a Hilbert space setting, which means that...
summary:Interpolation on finite elements usually occurs in a Hilbert space setting, which means that...
The quality of finite element solutions is improved by optimizing the location of the nodes within a...
AbstractIn this work we study a problem in bivariated interpolation associated with the Finite Eleme...
In this paper, we employ the projection-based interpolation algorithm for approximation of two-dimen...
AbstractOptimal p-interpolation error estimate is derived for the local, projection-based interpolat...
Sufficient conditions are provided for establishing equivalence between best approximation error and...
Interpolation estimates for finite elements are studied where the elements may have small or even la...
A Finite Element technique to interpolate general data (function values and its derivatives) has bee...
AbstractOptimal p-interpolation error estimate is derived for the local, projection-based interpolat...
Abstract. Lagrangian interpolation is a classical way to approximate general functions by finite sum...
Abstract. Lagrangian interpolation is a classical way to approximate general functions by finite sum...
Abstract. We analyse the error of interpolation of functions from the space H3(a, c) in the nodes a ...
In this paper, we present a new optimal interpolation error estimate in L-p norm ( 1 <= p <= i...