New finite difference formulas for numerical differentiation
Journal of Computational and Applied Mathematics
Lanczos' generalized derivative for higher orders
Journal of Computational and Applied Mathematics
Numerical differentiation for the second order derivatives of functions of two variables
Journal of Computational and Applied Mathematics
Differentiation by integration with Jacobi polynomials
Journal of Computational and Applied Mathematics
Error analysis of Jacobi derivative estimators for noisy signals
Numerical Algorithms
Multivariate numerical differentiation
Journal of Computational and Applied Mathematics
Convergence rate of the causal jacobi derivative estimator
Proceedings of the 7th international conference on Curves and Surfaces
Hi-index | 7.29 |
This paper mainly studies the numerical differentiation by integration method proposed first by Lanczos. New schemes of the Lanczos derivatives are put forward for reconstructing numerical derivatives for high orders from noise data. The convergence rate of these proposed methods is O(@d^4^n^+^4) as the noise level @d-0. Numerical examples show that the proposed methods are stable and efficient.