John W. Pearson

49 papers Journal 49

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast Numerical Solvers for Parameter Identification Problems in Mathematical Biology. J. Sci. Comput. Karolína Benková, John W. Pearson, Mariya Ptashnyk
2025	J	`jnl`	Block Alpha-Circulant Preconditioners for All-at-Once Diffusion-Based Covariance Operators. CoRR Jemima M. Tabeart, Selime Gürol, John W. Pearson, Anthony T. Weaver
2025	J	`jnl`	Carleman Linearization of Parabolic PDEs: Well-posedness, convergence, and efficient numerical methods. CoRR Bernhard Heinzelreiter, John W. Pearson
2025	J	`jnl`	Efficient Nonlocal Linear Image Denoising: Bilevel Optimization with Nonequispaced Fast Fourier Transform and Matrix-Free Preconditioning. SIAM J. Imaging Sci. Andrés Miniguano-Trujillo, John W. Pearson, Benjamin D. Goddard
2025	J	`jnl`	Eigenvalue bounds for preconditioned symmetric multiple saddle-point matrices. CoRR Luca Bergamaschi, Angeles Martinez, John W. Pearson, Andreas Potschka
2025	J	`jnl`	Parallel-in-Time Preconditioning for Time-Dependent Variational Mean Field Games. CoRR Heidi Wolles Ljósheim, Dante Kalise, John W. Pearson, Francisco J. Silva
2025	J	`jnl`	Spectral analysis of block preconditioners for double saddle-point linear systems with application to PDE-constrained optimization. Comput. Optim. Appl. Luca Bergamaschi, Ángeles Martínez, John W. Pearson, Andreas Potschka
2025	J	`jnl`	Stabilizing randomized GMRES through flexible GMRES. CoRR Stefan Güttel, John W. Pearson
2024	J	`jnl`	A Framework for the Solution of Tree-Coupled Saddle-Point Systems. CoRR Christoph Hansknecht, Bernhard Heinzelreiter, John W. Pearson, Andreas Potschka
2024	J	`jnl`	Automatic Differentiation for All-at-once Systems Arising in Certain PDE-Constrained Optimization Problems. CoRR Santolo Leveque, James R. Maddison, John W. Pearson
2024	J	`jnl`	Diagonalization-Based Parallel-in-Time Preconditioners for Instationary Fluid Flow Control Problems. CoRR Bernhard Heinzelreiter, John W. Pearson
2024	J	`jnl`	Double saddle-point preconditioning for Krylov methods in the inexact sequential homotopy method. Numer. Linear Algebra Appl. John W. Pearson, Andreas Potschka
2024	J	`jnl`	Efficient nonlocal linear image denoising: Bilevel optimization with Nonequispaced Fast Fourier Transform and matrix-free preconditioning. CoRR Andrés Miniguano-Trujillo, John W. Pearson, Benjamin D. Goddard
2024	J	`jnl`	Fast numerical solvers for parameter identification problems in mathematical biology. CoRR Karolína Benková, John W. Pearson, Mariya Ptashnyk
2024	J	`jnl`	Parallel-in-Time Solver for the All-at-Once Runge-Kutta Discretization. SIAM J. Matrix Anal. Appl. Santolo Leveque, Luca Bergamaschi, Ángeles Martínez, John W. Pearson
2024	J	`jnl`	Spectral analysis of block preconditioners for double saddle-point linear systems with application to PDE-constrained optimization. CoRR Luca Bergamaschi, Angeles Martinez, John W. Pearson, Andreas Potschka
2023	J	`jnl`	A Preconditioned Interior Point Method for Support Vector Machines Using an ANOVA-Decomposition and NFFT-Based Matrix-Vector Products. CoRR Theresa Wagner, John W. Pearson, Martin Stoll
2023	J	`jnl`	Fast Iterative Solver for the All-at-Once Runge-Kutta Discretization. CoRR Santolo Leveque, Luca Bergamaschi, Ángeles Martínez, John W. Pearson
2022	J	`jnl`	Fast iterative solver for the optimal control of time-dependent PDEs with Crank-Nicolson discretization in time. Numer. Linear Algebra Appl. Santolo Leveque, John W. Pearson
2022	J	`jnl`	General-purpose preconditioning for regularized interior point methods. Comput. Optim. Appl. Jacek Gondzio, Spyridon Pougkakiotis, John W. Pearson
2022	J	`jnl`	MultiShape: A Spectral Element Method, with Applications to Dynamic Density Functional Theory and PDE-Constrained Optimization. CoRR Jonna C. Roden, Rory D. Mills-Williams, John W. Pearson, Benjamin D. Goddard
2022	J	`jnl`	Parameter-Robust Preconditioning for Oseen Iteration Applied to Stationary and Instationary Navier-Stokes Control. SIAM J. Sci. Comput. Santolo Leveque, John W. Pearson
2021	J	`jnl`	A Note On Symmetric Positive Definite Preconditioners for Multiple Saddle-Point Systems. CoRR John W. Pearson, Andreas Potschka
2021	J	`jnl`	A Preconditioned Inexact Active-Set Method for Large-Scale Nonlinear Optimal Control Problems. CoRR John W. Pearson, Andreas Potschka
2021	J	`jnl`	A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming. Numer. Linear Algebra Appl. Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis
2021	J	`jnl`	General-purpose preconditioning for regularized interior point methods. CoRR Jacek Gondzio, Spyridon Pougkakiotis, John W. Pearson
2021	J	`jnl`	Parameter-Robust Preconditioning for Oseen Iteration Applied to Stationary and Instationary Navier-Stokes Control. CoRR Santolo Leveque, John W. Pearson
2021	J	`jnl`	Saddle point preconditioners for weak-constraint 4D-Var. CoRR Jemima M. Tabeart, John W. Pearson
2020	J	`jnl`	Fast Iterative Solver for the Optimal Control of Time-Dependent PDEs with Crank-Nicolson Discretization in Time. CoRR Santolo Leveque, John W. Pearson
2020	J	`jnl`	Fast Solution Methods for Convex Quadratic Optimization of Fractional Differential Equations. SIAM J. Matrix Anal. Appl. Spyridon Pougkakiotis, John W. Pearson, Santolo Leveque, Jacek Gondzio
2020	J	`jnl`	Interior-point methods and preconditioning for PDE-constrained optimization problems involving sparsity terms. Numer. Linear Algebra Appl. John W. Pearson, Margherita Porcelli, Martin Stoll
2020	J	`jnl`	PDE-Constrained Optimization Models and Pseudospectral Methods for Multiscale Particle Dynamics. CoRR Mildred Aduamoah, Benjamin D. Goddard, John W. Pearson, Jonna C. Roden
2020	J	`jnl`	Parameter-robust preconditioning for the optimal control of the wave equation. Numer. Algorithms Jun Liu, John W. Pearson
2019	J	`jnl`	A New Preconditioning Approach for an Interior Point-Proximal Method of Multipliers for Linear and Convex Quadratic Programming. CoRR Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis
2019	J	`jnl`	Fast iterative solvers for an optimal transport problem. Adv. Comput. Math. Roland Herzog, John W. Pearson, Martin Stoll
2019	J	`jnl`	Preconditioners and Tensor Product Solvers for Optimal Control Problems from Chemotaxis. SIAM J. Sci. Comput. Sergey Dolgov, John W. Pearson
2018	J	`jnl`	Refined saddle-point preconditioners for discretized Stokes problems. Numerische Mathematik John W. Pearson, Jennifer Pestana, David J. Silvester
2017	J	`jnl`	A Preconditioner for the Ohta-Kawasaki Equation. SIAM J. Matrix Anal. Appl. Patrick E. Farrell, John W. Pearson
2017	J	`jnl`	Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization. Numerische Mathematik John W. Pearson, Jacek Gondzio
2017	J	`jnl`	Numerical methods for the computation of the confluent and Gauss hypergeometric functions. Numer. Algorithms John W. Pearson, Sheehan Olver, Mason A. Porter
2016	J	`jnl`	Fast solvers for optimal control problems from pattern formation. J. Comput. Phys. Martin Stoll, John W. Pearson, Philip K. Maini
2016	J	`jnl`	Fast tensor product solvers for optimization problems with fractional differential equations as constraints. Appl. Math. Comput. Sergey Dolgov, John W. Pearson, Dmitry V. Savostyanov, Martin Stoll
2015	J	`jnl`	Preconditioned iterative methods for Navier-Stokes control problems. J. Comput. Phys. John W. Pearson
2014	J	`jnl`	Numerical Methods for the Computation of the Confluent and Gauss Hypergeometric Functions. CoRR John W. Pearson, Sheehan Olver, Mason A. Porter
2014	J	`jnl`	Preconditioners for state-constrained optimal control problems with Moreau-Yosida penalty function. Numer. Linear Algebra Appl. John W. Pearson, Martin Stoll, Andrew J. Wathen
2013	J	`jnl`	A radial basis function method for solving PDE-constrained optimization problems. Numer. Algorithms John W. Pearson
2013	J	`jnl`	Fast Iterative Solution of Reaction-Diffusion Control Problems Arising from Chemical Processes. SIAM J. Sci. Comput. John W. Pearson, Martin Stoll
2012	J	`jnl`	A new approximation of the Schur complement in preconditioners for PDE-constrained optimization. Numer. Linear Algebra Appl. John W. Pearson, Andrew J. Wathen
2012	J	`jnl`	Regularization-Robust Preconditioners for Time-Dependent PDE-Constrained Optimization Problems. SIAM J. Matrix Anal. Appl. John W. Pearson, Martin Stoll, Andrew J. Wathen