In this text explicit forms of several higher precision order kernel functions (to be used in the differentiation-by-integration procedure) are given for several derivative orders. Also, a system of linear equations is formulated which allows to construct kernels with an arbitrary precision for an arbitrary derivative order. A computer study is realized and it is shown that numerical differentiation based on higher precision order kernels performs much better (w.r.t. errors) than the same procedure based on the usual Legendre-polynomial kernels. Presented results may have implications for numerical implementations of the differentiation-by-integration method
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AbstractThis survey paper discusses the history of approximation formulas for n-th order derivatives...
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AbstractThis paper mainly studies the numerical differentiation by integration method proposed first...
International audienceIn this paper, the numerical differentiation by integration method based on Ja...
AbstractIn this paper, the numerical differentiation by integration method based on Jacobi polynomia...
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In this paper the authors present highly accurate and remarkably efficient computational methods for...
We consider the problem of numerical differentiation of a function f from approximate or noisy value...
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In engineering applications, we often need the derivatives of functions defined by a program. The ap...
Abstract. Some new formulas are given to approximate higher order deriva-tives and integrals through...
It is commonly assumed that calculating third order information is too expensive for most applicatio...
International audienceThe differentiation by integration method with Jacobi polynomials was original...
AbstractIn a recent paper an algorithm FEED was introduced for the systematic exact evaluation of hi...
AbstractThe method of differentiation by integration due to Lanczos is generalized to cover derivati...
AbstractThis survey paper discusses the history of approximation formulas for n-th order derivatives...
AbstractIn this paper, we introduce an algorithm and a computer code for numerical differentiation o...
AbstractThis paper mainly studies the numerical differentiation by integration method proposed first...
International audienceIn this paper, the numerical differentiation by integration method based on Ja...
AbstractIn this paper, the numerical differentiation by integration method based on Jacobi polynomia...
AbstractIn this note, we show that the central difference formula for approximating f′(0) using the ...
In this paper the authors present highly accurate and remarkably efficient computational methods for...
We consider the problem of numerical differentiation of a function f from approximate or noisy value...
AbstractA new type of Taylor series based finite difference approximations of higher-degree derivati...
In engineering applications, we often need the derivatives of functions defined by a program. The ap...
Abstract. Some new formulas are given to approximate higher order deriva-tives and integrals through...
It is commonly assumed that calculating third order information is too expensive for most applicatio...
International audienceThe differentiation by integration method with Jacobi polynomials was original...
AbstractIn a recent paper an algorithm FEED was introduced for the systematic exact evaluation of hi...
AbstractThe method of differentiation by integration due to Lanczos is generalized to cover derivati...
AbstractThis survey paper discusses the history of approximation formulas for n-th order derivatives...