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20192021
most citedFast Iterative Solver for the Optimal Control of Time-Dependent PDEs with Crank-Nicolson Discretization in Time

11 citations · 11 across the 2 of their papers we have counts for

collaborators

5 papers

math.NA2021

Parameter-Robust Preconditioning for Oseen Iteration Applied to Stationary and Instationary Navier--Stokes Control

Santolo Leveque, John W. Pearson

We derive novel, fast, and parameter-robust preconditioned iterative methods for steady and time-dependent Navier--Stokes control problems. Our approach may be applied to time-depe…

math.NA202011 cited

Fast Iterative Solver for the Optimal Control of Time-Dependent PDEs with Crank-Nicolson Discretization in Time

Santolo Leveque, John W. Pearson

In this article, we derive a new, fast, and robust preconditioned iterative solution strategy for the all-at-once solution of optimal control problems with time-dependent PDEs as c…

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…

cs.LG2019

Constructing Gradient Controllable Recurrent Neural Networks Using Hamiltonian Dynamics

Konstantin Rusch, John W. Pearson, Konstantinos C. Zygalakis

Recurrent neural networks (RNNs) have gained a great deal of attention in solving sequential learning problems. The learning of long-term dependencies, however, remains challenging…

math.OC2019

Fast Solution Methods for Convex Quadratic Optimization of Fractional Differential Equations

Spyridon Pougkakiotis, John W. Pearson, Santolo Leveque +1

In this paper, we present numerical methods suitable for solving convex quadratic Fractional Differential Equation (FDE) constrained optimization problems, with box constraints on…