John W. Pearson

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 30

Top Topics

Iterative Methods

Constrained Optimization

Quadratic Programming

Top Venues

Numer. Linear Algebra Appl.

SIAM J. Matrix Anal. Appl.

J. Comput. Phys.

Publications

Luca Bergamaschi, Angeles Martinez, John W. Pearson, Andreas Potschka
Spectral analysis of block preconditioners for double saddle-point linear systems with application to PDE-constrained optimization. CoRR (2024)
Bernhard Heinzelreiter, John W. Pearson
Diagonalization-Based Parallel-in-Time Preconditioners for Instationary Fluid Flow Control Problems. CoRR (2024)
John W. Pearson, Andreas Potschka
Double saddle-point preconditioning for Krylov methods in the inexact sequential homotopy method. Numer. Linear Algebra Appl. 31 (4) (2024)
Andrés Miniguano-Trujillo, John W. Pearson, Benjamin D. Goddard
Efficient nonlocal linear image denoising: Bilevel optimization with Nonequispaced Fast Fourier Transform and matrix-free preconditioning. CoRR (2024)
Theresa Wagner, John W. Pearson, Martin Stoll
A Preconditioned Interior Point Method for Support Vector Machines Using an ANOVA-Decomposition and NFFT-Based Matrix-Vector Products. CoRR (2023)
Santolo Leveque, Luca Bergamaschi, Ángeles Martínez, John W. Pearson
Fast Iterative Solver for the All-at-Once Runge-Kutta Discretization. CoRR (2023)
Santolo Leveque, John W. Pearson
Parameter-Robust Preconditioning for Oseen Iteration Applied to Stationary and Instationary Navier-Stokes Control. SIAM J. Sci. Comput. 44 (3) (2022)
Jonna C. Roden, Rory D. Mills-Williams, John W. Pearson, Benjamin D. Goddard
MultiShape: A Spectral Element Method, with Applications to Dynamic Density Functional Theory and PDE-Constrained Optimization. CoRR (2022)
Jacek Gondzio, Spyridon Pougkakiotis, John W. Pearson
General-purpose preconditioning for regularized interior point methods. Comput. Optim. Appl. 83 (3) (2022)
Santolo Leveque, John W. Pearson
Fast iterative solver for the optimal control of time-dependent PDEs with Crank-Nicolson discretization in time. Numer. Linear Algebra Appl. 29 (2) (2022)
John W. Pearson, Andreas Potschka
A Note On Symmetric Positive Definite Preconditioners for Multiple Saddle-Point Systems. CoRR (2021)
Jemima M. Tabeart, John W. Pearson
Saddle point preconditioners for weak-constraint 4D-Var. CoRR (2021)
Jacek Gondzio, Spyridon Pougkakiotis, John W. Pearson
General-purpose preconditioning for regularized interior point methods. CoRR (2021)
John W. Pearson, Andreas Potschka
A Preconditioned Inexact Active-Set Method for Large-Scale Nonlinear Optimal Control Problems. CoRR (2021)
Santolo Leveque, John W. Pearson
Parameter-Robust Preconditioning for Oseen Iteration Applied to Stationary and Instationary Navier-Stokes Control. CoRR (2021)
Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis
A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming. Numer. Linear Algebra Appl. 28 (4) (2021)
Spyridon Pougkakiotis, John W. Pearson, Santolo Leveque, Jacek Gondzio
Fast Solution Methods for Convex Quadratic Optimization of Fractional Differential Equations. SIAM J. Matrix Anal. Appl. 41 (3) (2020)
John W. Pearson, Margherita Porcelli, Martin Stoll
Interior-point methods and preconditioning for PDE-constrained optimization problems involving sparsity terms. Numer. Linear Algebra Appl. 27 (2) (2020)
Jun Liu, John W. Pearson
Parameter-robust preconditioning for the optimal control of the wave equation. Numer. Algorithms 83 (3) (2020)
Mildred Aduamoah, Benjamin D. Goddard, John W. Pearson, Jonna C. Roden
PDE-Constrained Optimization Models and Pseudospectral Methods for Multiscale Particle Dynamics. CoRR (2020)
Santolo Leveque, John W. Pearson
Fast Iterative Solver for the Optimal Control of Time-Dependent PDEs with Crank-Nicolson Discretization in Time. CoRR (2020)
Roland Herzog, John W. Pearson, Martin Stoll
Fast iterative solvers for an optimal transport problem. Adv. Comput. Math. 45 (2) (2019)
Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis
A New Preconditioning Approach for an Interior Point-Proximal Method of Multipliers for Linear and Convex Quadratic Programming. CoRR (2019)
Sergey Dolgov, John W. Pearson
Preconditioners and Tensor Product Solvers for Optimal Control Problems from Chemotaxis. SIAM J. Sci. Comput. 41 (6) (2019)
John W. Pearson, Jennifer Pestana, David J. Silvester
Refined saddle-point preconditioners for discretized Stokes problems. Numerische Mathematik 138 (2) (2018)
John W. Pearson, Jacek Gondzio
Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization. Numerische Mathematik 137 (4) (2017)
John W. Pearson, Sheehan Olver, Mason A. Porter
Numerical methods for the computation of the confluent and Gauss hypergeometric functions. Numer. Algorithms 74 (3) (2017)
Patrick E. Farrell, John W. Pearson
A Preconditioner for the Ohta-Kawasaki Equation. SIAM J. Matrix Anal. Appl. 38 (1) (2017)
Sergey Dolgov, John W. Pearson, Dmitry V. Savostyanov, Martin Stoll
Fast tensor product solvers for optimization problems with fractional differential equations as constraints. Appl. Math. Comput. 273 (2016)
Martin Stoll, John W. Pearson, Philip K. Maini
Fast solvers for optimal control problems from pattern formation. J. Comput. Phys. 304 (2016)
John W. Pearson
Preconditioned iterative methods for Navier-Stokes control problems. J. Comput. Phys. 292 (2015)
John W. Pearson, Sheehan Olver, Mason A. Porter
Numerical Methods for the Computation of the Confluent and Gauss Hypergeometric Functions. CoRR (2014)
John W. Pearson, Martin Stoll, Andrew J. Wathen
Preconditioners for state-constrained optimal control problems with Moreau-Yosida penalty function. Numer. Linear Algebra Appl. 21 (1) (2014)
John W. Pearson, Martin Stoll
Fast Iterative Solution of Reaction-Diffusion Control Problems Arising from Chemical Processes. SIAM J. Sci. Comput. 35 (5) (2013)
John W. Pearson
A radial basis function method for solving PDE-constrained optimization problems. Numer. Algorithms 64 (3) (2013)
John W. Pearson, Andrew J. Wathen
A new approximation of the Schur complement in preconditioners for PDE-constrained optimization. Numer. Linear Algebra Appl. 19 (5) (2012)
John W. Pearson, Martin Stoll, Andrew J. Wathen
Regularization-Robust Preconditioners for Time-Dependent PDE-Constrained Optimization Problems. SIAM J. Matrix Anal. Appl. 33 (4) (2012)