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20132026
most citedA New Preconditioning Approach for an Interior Point-Proximal Method of Multipliers for Linear and Convex Quadratic Programming

19 citations · 23 across the 10 of their papers we have counts for

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math.NA2026

Mixed precision solvers for the all-at-once Runge--Kutta discretization of the heat equation

Santolo Leveque, Luca Bergamaschi, Ángeles Martínez +1

We study the effect of mixed precision on the numerical integration of the heat equation discretized with a Runge--Kutta method in time. A full space-time discretization is applied…

math.NA2026

Spectral Analysis of Block Diagonally Preconditioned Multiple Saddle-Point Matrices with Inexact Schur Complements

Marco Pilotto, Luca Bergamaschi, Angeles Martinez

We derive eigenvalue bounds for symmetric block-tridiagonal multiple saddle-point systems preconditioned with block-diagonal Schur complement matrices. This analysis applies to an…