2 citations · 2 across the 1 of their papers we have counts for
3 papers
math.NA2020
Parallel Newton-Chebyshev Polynomial Preconditioners for the Conjugate Gradient method
Luca Bergamaschi, Angeles Martinez
In this note we exploit polynomial preconditioners for the Conjugate Gradient method to solve large symmetric positive definite linear systems in a parallel environment. We put in…
math.NA2020★ 2 cited
Compact Quasi-Newton preconditioners for SPD linear systems
Luca Bergamaschi, Jose Marin, Angeles Martinez
In this paper preconditioners for the Conjugate Gradient method are studied to solve the Newton system with symmetric positive definite Jacobian. In particular, we define a sequenc…
math.NA2019
A New Preconditioning Approach for an Interior Point-Proximal Method of Multipliers for Linear and Convex Quadratic Programming
Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez +2
In this paper, we address the efficient numerical solution of linear and quadratic programming problems, often of large scale. With this aim, we devise an infeasible interior point…