collaborators

11 papers

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.…

math.NA2025

Invariant-region-preserving WENO schemes for one-dimensional multispecies kinematic flow models

Juan Barajas-Calonge, Raimund Bürger, Pep Mulet +1

Multispecies kinematic flow models are defined by systems of N strongly coupled, nonlinear first-order conservation laws, where the solution is a vector of N partial volume fractio…

math.NA2025

High Order in Space and Time Schemes Through an Approximate Lax-Wendroff Procedure

Antonio Baeza, Pep Mulet, David Zorío

This paper deals with the scheme proposed by the authors in Zorío, Baeza and Mulet (J Sci Comput 71(1):246-273, 2017). This scheme is an alternative to the techniques proposed in…