works on

From the 1 of 9 linked papers with an AI index.

activity
20242026
collaborators

9 papers

math.AP2026

Self-improving properties for a class of elliptic and parabolic equations on bounded domains

Tadele Mengesha, Abner J. Salgado

The paper studies how solutions to certain local and nonlocal elliptic and parabolic equations on bounded domains gain extra regularity, using interpolation theory and analytic per…

math.NA2026

Analysis and approximation of a two-dimensional induction heating problem

Gabriel R. Barrenechea, Katherine MacKenzie, Abner Salgado

In this paper, we analyse the existence of solutions and finite element approximation of a steady-state two-dimensional induction heating problem. One of the main difficulties of t…

math.OC2026

A pointwise tracking optimal control problem for a fractional, semilinear PDE

Enrique Otarola, Abner J. Salgado

We analyze an optimal control problem with pointwise tracking for a fractional semilinear elliptic partial differential equation. The diffusion is characterized by the spectral fra…

math.NA2026

Approximation of higher-order powers of the spectral fractional Laplacian via polyharmonic extension

Enrique Otárola, Abner J. Salgado

We use the polyharmonic extension approach to develop a numerical technique for discretizing higher-order powers of the spectral fractional Laplacian with .

math.NA2026

The spectral fractional Laplacian with measure valued right hand sides: analysis and approximation

Enrique Otarola, Abner J. Salgado

We consider the spectral definition of the fractional Laplace operator and study a basic linear problem involving this operator and singular forcing. In two dimensions, we introduc…

math.OC2025

A perturbed preconditioned gradient descent method for the unconstrained minimization of composite objectives

Jea-Hyun Park, Abner J. Salgado, Steven M. Wise

We introduce a perturbed preconditioned gradient descent (PPGD) method for the unconstrained minimization of a strongly convex objective with a locally Lipschitz continuous gra…