Error bounds on the approximation of functions and partial derivatives by quadratic spline quasi-interpolants on non-uniform criss-cross triangulations of a rectangular domain
Abstract:Given a non-uniform criss-cross triangulation of a rectangular domain Ω , we consider the approximation of a function f and its partial derivatives, by general C 1 quadratic spline quasi-interpolants and their derivatives. We give error bounds in terms of the smoothness of f and the characteristics of the triangulation. Then, the preceding theoretical results are compared with similar results in the literature. Finally, several examples are proposed for illustrating various applications of the quasiinterpolant… Show more
“…We remark that the first-boundary-layer and the second-boundary-layer B-splines can be expressed as linear combination of classical B-splines with octagonal support and simple knots [3,23].…”
Section: Spanning Set Basis and Properties Of Smentioning
confidence: 99%
“…In particular, considering the subtriangulation T 2m,2n of T mn , obtained by subdividing each rectangle Furthermore, given a function ρ ∈ C(Ω 0 ), we can establish how well a spline in S 1 2 (T mn ) is able to approximate such a function. Indeed, concerning the approximation properties of bivariate C 1 quadratic spline spaces on criss-cross triangulations, we can refer to [9], where the authors give error bounds for functions and partial derivatives in terms of the smoothness of functions that are approximated and the characteristics of the triangulation. In particular, since we know that there exist quasi-interpolating operators exact on the space P 2 (see e.g [4, Sect.…”
Section: Spanning Set Basis and Properties Of Smentioning
confidence: 99%
“…In particular, since we know that there exist quasi-interpolating operators exact on the space P 2 (see e.g [4, Sect. 2.4], [7,9,19]), then the optimal approximation order is achieved for sufficiently smooth functions, i.e. if ρ ∈ C 3 (Ω 0 ) there exists a constant C > 0 such that…”
Section: Spanning Set Basis and Properties Of Smentioning
confidence: 99%
“…Since many domains of interest in engineering problems are often described by conic sections, we consider as geometry function G a quadratic NURBS surface on a criss-cross triangulation, presented in Section 3, in order to exactly reproduce them. More precisely, we consider a criss-cross triangulation T mn of Ω 0 , the space S 1 2 (T mn ), its spanning set B mn and, given opportune weights {w ij } (i,j)∈Kmn , from B mn we get N mn defined in (9). Then, we define the global geometry function…”
Section: ])mentioning
confidence: 99%
“…[2,3,4,5,6,7,8,9]) has been considered in the solution of several kinds of problems, like construction of approximation operators with special properties (see e.g. [10,11,12,13,14,15,16]), solution of integral equations (see e.g.…”
In this paper we consider and analyse NURBS based on bivariate quadratic B-splines on criss-cross triangulations of the parametric domain Ω0 = [0, 1] × [0, 1], presenting their main properties, showing their performances to exactly construct quadric surfaces and reporting some applications related to the modeling of objects. Moreover, we propose applications to the numerical solution of partial differential equations, with mixed boundary conditions on a given physical domain Ω, by using three different spline methods to set the prescribed Dirichlet boundary conditions.
“…We remark that the first-boundary-layer and the second-boundary-layer B-splines can be expressed as linear combination of classical B-splines with octagonal support and simple knots [3,23].…”
Section: Spanning Set Basis and Properties Of Smentioning
confidence: 99%
“…In particular, considering the subtriangulation T 2m,2n of T mn , obtained by subdividing each rectangle Furthermore, given a function ρ ∈ C(Ω 0 ), we can establish how well a spline in S 1 2 (T mn ) is able to approximate such a function. Indeed, concerning the approximation properties of bivariate C 1 quadratic spline spaces on criss-cross triangulations, we can refer to [9], where the authors give error bounds for functions and partial derivatives in terms of the smoothness of functions that are approximated and the characteristics of the triangulation. In particular, since we know that there exist quasi-interpolating operators exact on the space P 2 (see e.g [4, Sect.…”
Section: Spanning Set Basis and Properties Of Smentioning
confidence: 99%
“…In particular, since we know that there exist quasi-interpolating operators exact on the space P 2 (see e.g [4, Sect. 2.4], [7,9,19]), then the optimal approximation order is achieved for sufficiently smooth functions, i.e. if ρ ∈ C 3 (Ω 0 ) there exists a constant C > 0 such that…”
Section: Spanning Set Basis and Properties Of Smentioning
confidence: 99%
“…Since many domains of interest in engineering problems are often described by conic sections, we consider as geometry function G a quadratic NURBS surface on a criss-cross triangulation, presented in Section 3, in order to exactly reproduce them. More precisely, we consider a criss-cross triangulation T mn of Ω 0 , the space S 1 2 (T mn ), its spanning set B mn and, given opportune weights {w ij } (i,j)∈Kmn , from B mn we get N mn defined in (9). Then, we define the global geometry function…”
Section: ])mentioning
confidence: 99%
“…[2,3,4,5,6,7,8,9]) has been considered in the solution of several kinds of problems, like construction of approximation operators with special properties (see e.g. [10,11,12,13,14,15,16]), solution of integral equations (see e.g.…”
In this paper we consider and analyse NURBS based on bivariate quadratic B-splines on criss-cross triangulations of the parametric domain Ω0 = [0, 1] × [0, 1], presenting their main properties, showing their performances to exactly construct quadric surfaces and reporting some applications related to the modeling of objects. Moreover, we propose applications to the numerical solution of partial differential equations, with mixed boundary conditions on a given physical domain Ω, by using three different spline methods to set the prescribed Dirichlet boundary conditions.
Spline quasi-interpolation (QI) is a general and powerful approach for the construction of low cost and accurate approximations of a given function. In order to provide an efficient adaptive approximation scheme in the bivariate setting, we consider quasi-interpolation in hierarchical spline spaces. In particular, we study and experiment the features of the hierarchical extension of the tensor-product formulation of the Hermite BS quasiinterpolation scheme. The convergence properties of this hierarchical operator, suitably defined in terms of truncated hierarchical B-spline bases, are analyzed. A selection of numerical examples is presented to compare the performances of the hierarchical and tensor-product versions of the scheme.
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