Juan Carlos Trillo

Dr. Juan Carlos Trillo

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Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 July 2005 in Foundations of Computational Mathematics
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SASergio Amat
Sergio Amat
RDRosa Donat
Rosa Donat
JLJacques Liandrat
Jacques Liandrat
JTJuan Carlos Trillo
Juan Carlos Trillo

1 January 2007 in Numerical Algorithms
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SASergio Amat
Sergio Amat
SSSonia Busquier Sáez
Sonia Busquier Sáez
JTJuan Carlos Trillo
Juan Carlos Trillo

26 February 2021 in ESAIM: Mathematical Modelling and Numerical Analysis
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SASergio Amat
Sergio Amat
JRJuan Ruiz-Álvarez
Juan Ruiz-Álvarez
CSChi-Wang Shu
Chi-Wang Shu
JTJuan Carlos Trillo
Juan Carlos Trillo
When interpolating data with certain regularity, spline functions are useful. They are defined as piecewise polynomials that satisfy certain regularity conditions at the joints. In the literature about splines it is possible to find several references that study the apparition of Gibbs phenomenon close to jump discontinuities in the results obtained by spline interpolation. This work is devoted to the construction and analysis of a new nonlinear technique that allows to improve the accuracy of splines near jump discontinuities eliminating the Gibbs phenomenon. The adaption is easily attained through a nonlinear modification of the right hand side of the system of equations of the spline, that contains divided differences. The modification is based on the use of a new limiter specifically designed to attain adaption close to jumps in the function. The new limiter can be seen as a nonlinear weighted mean that has better adaption properties than the linear weighted mean. We will prove that the nonlinear modification introduced in the spline keeps the maximum theoretical accuracy in all the domain except at the intervals that contain a jump discontinuity, where Gibbs oscillations are eliminated. Diffusion is introduced, but this is fine if the discontinuity appears due to a discretization of a high gradient with not enough accuracy. The new technique is introduced for cubic splines, but the theory presented allows to generalize the results very easily to splines of any order. The experiments presented satisfy the theoretical aspects analyzed in the paper.

25 February 2022 in Numerical Algorithms
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SASergio Amat
Sergio Amat
DLDavid Levin
David Levin
JRJuan Ruiz-Álvarez
Juan Ruiz-Álvarez
JTJuan Carlos Trillo
Juan Carlos Trillo
YAYáñez Avendaño
Yáñez Avendaño
In many applications, it is useful to use piecewise polynomials that satisfy certain regularity conditions at the joint points. Cubic spline functions emerge as good candidates havingC2regularity. On the other hand, if the data points present discontinuities, the classical spline approximations produce Gibbs oscillations. In a recent paper, we have introduced a new nonlinear spline approximation avoiding the presence of these oscillations. Unfortunately, this new reconstruction loses theC2regularity. This paper introduces a new nonlinear spline that preserves the regularity at all the joint points except at the end points of an interval containing a discontinuity, and that avoids the Gibbs oscillations.

15 June 2010 in Journal of Computational and Applied Mathematics
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SASergio Amat
Sergio Amat
KDK. Dadourian
K. Dadourian
JLJ. Liandrat
J. Liandrat
JRJ. Ruiz
J. Ruiz
JTJuan Carlos Trillo
Juan Carlos Trillo

3 July 2015 in Numerical Algorithms
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SASergio Amat
Sergio Amat
JLJ. Liandrat
J. Liandrat
JRJ. Ruiz
J. Ruiz
JTJuan Carlos Trillo
Juan Carlos Trillo