Heuristic regularization methods for numerical differentiation
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Publication:453796
DOI10.1016/j.camwa.2011.11.047zbMath1247.65028OpenAlexW1969873830MaRDI QIDQ453796
Dinh Nho Hào, La Huu Chuong, Daniel Lesnic
Publication date: 30 September 2012
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2011.11.047
splinenumerical differentiationill-posed problemde Boor methodheuristic regularization methodL-curve method
Numerical differentiation (65D25) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20)
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Uses Software
Cites Work
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- A practical guide to splines
- A mollification method for ill-posed problems
- A Banach space ODE framework for inverse scattering via invariant imbedding
- Stable approximation of fractional derivatives of rough functions
- Smoothing by spline functions.
- Inverse Problems Light: Numerical Differentiation
- Reconstruction of high order derivatives from input data
- Numerical differentiation and its applications
- Stable nunerical fractional differentiation by mollification
- A numerical differentiation method and its application to reconstruction of discontinuity
- An introduction to the mathematical theory of inverse problems
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