The aim of this paper is to derive a refined first-order expansion formula in Rn, the goal being to get an optimal reduced remainder, compared to the one obtained by usual Taylor's formula. For a given function, the formula we derived is obtained by introducing a linear combination of the first derivatives, computed at $n+1$ equally spaced points. We show how this formula can be applied to two important applications: the interpolation error and the finite elements error estimates. In both cases, we illustrate under which conditions a significant improvement of the errors can be obtained, namely how the use of the refined expansion can reduce the upper bound of error estimates.Comment: 20 page
summary:Interpolation on finite elements usually occurs in a Hilbert space setting, which means that...
Matching boundary data exactly in an elliptic problem avoids one of Strang's "variational crimes". (...
A computationally useful criterion for grid optimization is derived, based on a measure of the inter...
International audienceThe aim of this paper is to derive a refined first-order expansion formula in ...
In this paper, we derive a variant of the Taylor theorem to obtain a new minimized remainder. For a ...
International audienceThis paper is devoted to a new first order Taylor-like formula where the corre...
This is the author accepted manuscript. The final version is available from Springer via the DOI in ...
summary:Asymptotic error expansions in the sense of $L^{\infty }$-norm for the Raviart-Thomas mixed ...
When we solve the initial value problem of ordinary differential equations, if we attempt to cut the...
We present counterexamples to the asymptotic expansion of interpolation in finite element methods fo...
Efficiency in solving differential equations is improved by increasing the order of a Taylor series ...
Abstract. In this paper, we study the relation between the error estimate of the bilinear interpolat...
Sufficient conditions are provided for establishing equivalence between best approximation error and...
AbstractThe general form of Taylor's theorem for a function f:K→K, where K is the real line or the c...
System modeling can help designers make and verify design decisions early in the design process if t...
summary:Interpolation on finite elements usually occurs in a Hilbert space setting, which means that...
Matching boundary data exactly in an elliptic problem avoids one of Strang's "variational crimes". (...
A computationally useful criterion for grid optimization is derived, based on a measure of the inter...
International audienceThe aim of this paper is to derive a refined first-order expansion formula in ...
In this paper, we derive a variant of the Taylor theorem to obtain a new minimized remainder. For a ...
International audienceThis paper is devoted to a new first order Taylor-like formula where the corre...
This is the author accepted manuscript. The final version is available from Springer via the DOI in ...
summary:Asymptotic error expansions in the sense of $L^{\infty }$-norm for the Raviart-Thomas mixed ...
When we solve the initial value problem of ordinary differential equations, if we attempt to cut the...
We present counterexamples to the asymptotic expansion of interpolation in finite element methods fo...
Efficiency in solving differential equations is improved by increasing the order of a Taylor series ...
Abstract. In this paper, we study the relation between the error estimate of the bilinear interpolat...
Sufficient conditions are provided for establishing equivalence between best approximation error and...
AbstractThe general form of Taylor's theorem for a function f:K→K, where K is the real line or the c...
System modeling can help designers make and verify design decisions early in the design process if t...
summary:Interpolation on finite elements usually occurs in a Hilbert space setting, which means that...
Matching boundary data exactly in an elliptic problem avoids one of Strang's "variational crimes". (...
A computationally useful criterion for grid optimization is derived, based on a measure of the inter...