collaborators

9 papers

math.NA2026

Adaptive Non-Linear Partition of Unity Methods for Scattered Data Interpolation with Discontinuities

Adeeba Haider, Roberto Cavoretto, Juan Ruiz-Álvarez +1

Scattered data approximation with discontinuities is challenging due to the Gibbs phenomenon, which significantly reduces accuracy near interfaces. The recently introduced Non-Line…

math.NA2026

Data dependent Shepard approximation through and adaptive modification of the shape parameter

José Kuruc, Juan Ruiz-Álvarez, Bo Wang +1

In this article, we introduce a novel data-dependent Shepard interpolation method inspired by the adaptive strategies proposed in [2]. In this case, as Shepard interpolation does n…

math.NA2026

Data-dependent approximation through RBF

José Kuruc, David Levin, Pep Mulet +2

In this article we present a modification of classical Radial Basis Function (RBF) interpolation techniques aimed at reducing oscillations near discontinuities in one and two dimen…

math.NA2026

A Cell-Average Non-Separable Progressive Multivariate WENO Method for Image Processing Applications

Inmaculada Garcés, Pep Mulet, Juan Ruiz-Álvarez +2

Accurate and efficient reconstruction techniques are essential in multiresolution analysis and image compression, particularly when the data are represented as cell averages. In th…

math.NA2026

Implicit-explicit all-speed schemes for compressible Cahn-Hilliard-Navier-Stokes equations

Andreu Martorell, Pep Mulet, Dionisio F. Yáñez

We propose a second-order implicit-explicit (IMEX) time-stepping scheme for the isentropic, compressible Cahn-Hilliard-Navier-Stokes equations in the low Mach number regime. The me…

math.NA2025

Implicit-explicit schemes for compressible Cahn-Hilliard-Navier-Stokes equations on staggered grids

Andreu Martorell, Pep Mulet, Dionisio F. Yáñez

We propose a second-order implicit-explicit (IMEX) time-stepping scheme for the isentropic, compressible Cahn-Hilliard-Navier-Stokes equations discretized on staggered (MAC) grids.…