activity
20112023
most citedA pseudo-spectral method for a non-local KdV-Burgers equation posed on

14 citations · 24 across the 13 of their papers we have counts for

collaborators

13 papers

math.NA2023

Numerical computation of the half Laplacian by means of a fast convolution algorithm

Carlota M. Cuesta, Francisco de la Hoz, Ivan Girona

In this paper, we develop a fast and accurate pseudospectral method to approximate numerically the half Laplacian of a function on , which is equivalent to…

math.AP2023

Large time behaviour of a conservation law regularised by a Riesz-Feller operator: the sub-critical case

Carlota M. Cuesta, Xuban Diez

We study the large time behaviour of the solutions of a non-local regularisation of a scalar conservation law. This regularisation is given by a fractional derivative of order $1+α…

math.NA2022★ 1 cited

A fast convolution method for the fractional Laplacian in

Jorge Cayama, Carlota M. Cuesta, Francisco de la Hoz +1

In this article, we develop a new method to approximate numerically the fractional Laplacian of functions defined on , as well as some more general singular integrals. A…

math.NA2020

Numerical Approximation of the Fractional Laplacian on Using Orthogonal Families

Jorge Cayama, Carlota M. Cuesta, Francisco de la Hoz

In this paper, using well-known complex variable techniques, we compute explicitly, in terms of the Gaussian hypergeometric function, the one-dimensional fractional Lapla…

math.AP2019

Vanishing viscosity limit of a conservation law regularised by a Riesz-Feller operator

Carlota M. Cuesta, Xuban Diez

We study a nonlocal regularisation of a scalar conservation law given by a fractional derivative of order between one and two. The nonlocal operator is of Riesz-Feller type with sk…

math.NA2019★ 2 cited

A Pseudospectral Method for the One-Dimensional Fractional Laplacian on

Jorge Cayama, Carlota M. Cuesta, Francisco de la Hoz

In this paper, we propose a novel pseudospectral method to approximate accurately and efficiently the fractional Laplacian without using truncation. More precisely, given a bounded…