Dionisio F. Yáñez
Orcid: 0000-0002-6206-1971
According to our database1,
Dionisio F. Yáñez
authored at least 36 papers
between 2010 and 2024.
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Bibliography
2024
A note on some bounds between cubic spline interpolants depending on the boundary conditions: Application to a monotonicity property.
CoRR, 2024
2023
Appl. Math. Lett., July, 2023
Int. J. Comput. Math., February, 2023
The translation operator. Applications to nonlinear reconstruction operators on nonuniform grids.
Math. Comput. Simul., 2023
Subdivision schemes based on weighted local polynomial regression. A new technique for the convergence analysis.
CoRR, 2023
2022
On the approximation of derivative values using a WENO algorithm with progressive order of accuracy close to discontinuities.
Comput. Appl. Math., September, 2022
Numer. Algorithms, 2022
Exploring the development of mental rotation and computational skills in elementary students through educational robotics.
Int. J. Child Comput. Interact., 2022
Geometric representation of the weighted harmonic mean of n positive values and potential uses.
CoRR, 2022
Global and explicit approximation of piecewise smooth 2D functions from cell-average data.
CoRR, 2022
Appl. Math. Comput., 2022
Adv. Comput. Math., 2022
2021
Improving the stability bound for the PPH nonlinear subdivision scheme for data coming from strictly convex functions.
Appl. Math. Comput., 2021
Cell-average WENO with progressive order of accuracy close to discontinuities with applications to signal processing.
Appl. Math. Comput., 2021
2020
SIAM J. Numer. Anal., 2020
On a family of non-oscillatory subdivision schemes having regularity C<sup>r</sup> with r > 1.
Numer. Algorithms, 2020
J. Comput. Appl. Math., 2020
Int. J. Comput. Math., 2020
On the use of generalized harmonic means in image processing using multiresolution algorithms.
Int. J. Comput. Math., 2020
CoRR, 2020
2019
On a stable family of four-point nonlinear subdivision schemes eliminating the Gibbs phenomenon.
J. Comput. Appl. Math., 2019
2018
Appl. Math. Lett., 2018
2016
Non-separable local polynomial regression cell-average multiresolution operators. Application to compression of images.
J. Frankl. Inst., 2016
Non-consistent cell-average multiresolution operators with application to image processing.
Appl. Math. Comput., 2016
2014
Cell-average multiresolution based on local polynomial regression. Application to image processing.
Appl. Math. Comput., 2014
Non-linear Local Polynomial Regression Multiresolution Methods Using \ell ^1 ℓ 1 -norm Minimization with Application to Signal Processing.
Proceedings of the Curves and Surfaces, 2014
2013
Signal Process., 2013
J. Comput. Appl. Math., 2013
2010
Design of Multiresolution Operators Using Statistical Learning Tools: Application to Compression of Signals.
Proceedings of the Curves and Surfaces, 2010