A $C^{\infty}$ rational quasi-interpolation operator for functions with jumps without the Gibbs phenomenon
By: Francesco Dell'Accio , Francesco Larosa , Federico Nudo and more
Potential Business Impact:
Fixes signals with sudden changes.
The study of quasi-interpolation has gained significant importance in numerical analysis and approximation theory due to its versatile applications in scientific and engineering fields. This technique provides a flexible and efficient alternative to traditional interpolation methods by approximating data points without requiring the approximated function to pass exactly through them. This approach is particularly valuable for handling jump discontinuities, where classical interpolation methods often fail due to the Gibbs phenomenon. These discontinuities are common in practical scenarios such as signal processing and computational physics. In this paper, we present a $C^{\infty}$ rational quasi-interpolation operator designed to effectively approximate functions with jump discontinuities while minimizing the issues typically associated with traditional interpolation methods.
Similar Papers
$C^{\infty}$ rational approximation and quasi-histopolation of functions with jumps through multinode Shepard functions
Numerical Analysis
Makes computer math better, avoiding weird wiggles.
Monte Carlo quasi-interpolation of spherical data
Numerical Analysis
Makes computer math work better with messy data.
Quasi-optimal time-space discretizations for a class of nonlinear parabolic PDEs
Numerical Analysis
Solves hard math problems faster for computers.