AbstractA method for stable numerical differentiation of noisy data is proposed. The method requires solving a Volterra integral equation of the second kind. This equation is solved analytically. In the examples considered its solution is computed analytically. Some numerical results of its application are presented. These examples show that the proposed method for stable numerical differentiation is numerically more efficient than some other methods, in particular, than variational regularization
AbstractIn this paper, we use smoothing splines to deal with numerical differentiation. Some heurist...
summary:Method for numerical solution of Volterra integral equations, based on the O.I.M. methods, i...
AbstractSeveral algorithms have been proposed for the stable numerical computation of non-dominant s...
AbstractA method for stable numerical differentiation of noisy data is proposed. The method requires...
Based on a regularized Volterra equation, two different approaches for numerical differ-entiation ar...
AbstractThe method of numerical differentiation by discrete mollification is presented in a fully di...
AbstractThis paper mainly studies the numerical differentiation by integration method proposed first...
Abstract. We propose a regularized optimization problem for computing numerical differentiation for ...
We propose a regularized optimization problem for computing numerical di®erentiation for the second ...
International audienceIn this article, we propose a multidimensional numerical differentiation metho...
AbstractIn this paper we consider the numerical differentiation of functions specified by noisy data...
AbstractA regularized optimization problem for computing numerical differentiation for the second or...
AbstractA new, very simple, totally automated and powerful technique for numerical differentiation b...
In this paper, we consider numerical differentiation of bivariate functions when a set of noisy data...
AbstractIn this paper, we present a method for the numerical differentiation of bivariate functions ...
AbstractIn this paper, we use smoothing splines to deal with numerical differentiation. Some heurist...
summary:Method for numerical solution of Volterra integral equations, based on the O.I.M. methods, i...
AbstractSeveral algorithms have been proposed for the stable numerical computation of non-dominant s...
AbstractA method for stable numerical differentiation of noisy data is proposed. The method requires...
Based on a regularized Volterra equation, two different approaches for numerical differ-entiation ar...
AbstractThe method of numerical differentiation by discrete mollification is presented in a fully di...
AbstractThis paper mainly studies the numerical differentiation by integration method proposed first...
Abstract. We propose a regularized optimization problem for computing numerical differentiation for ...
We propose a regularized optimization problem for computing numerical di®erentiation for the second ...
International audienceIn this article, we propose a multidimensional numerical differentiation metho...
AbstractIn this paper we consider the numerical differentiation of functions specified by noisy data...
AbstractA regularized optimization problem for computing numerical differentiation for the second or...
AbstractA new, very simple, totally automated and powerful technique for numerical differentiation b...
In this paper, we consider numerical differentiation of bivariate functions when a set of noisy data...
AbstractIn this paper, we present a method for the numerical differentiation of bivariate functions ...
AbstractIn this paper, we use smoothing splines to deal with numerical differentiation. Some heurist...
summary:Method for numerical solution of Volterra integral equations, based on the O.I.M. methods, i...
AbstractSeveral algorithms have been proposed for the stable numerical computation of non-dominant s...