John W Pearson
John W Pearson
Reader, School of Mathematics, The University of Edinburgh
Bekræftet mail på ed.ac.uk - Startside
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A new approximation of the Schur complement in preconditioners for PDE‐constrained optimization
JW Pearson, AJ Wathen
Numerical Linear Algebra with Applications 19 (5), 816-829, 2011
1562011
Computation of hypergeometric functions
JW Pearson
University of Oxford, 2009
1192009
Fast Iterative Solvers for PDE-Constrained Optimization Problems
JW Pearson
University of Oxford, 2013
98*2013
Regularization-robust preconditioners for time-dependent PDE-constrained optimization problems
JW Pearson, M Stoll, AJ Wathen
SIAM Journal on Matrix Analysis and Applications 33 (4), 1126-1152, 2012
982012
Numerical methods for the computation of the confluent and Gauss hypergeometric functions
JW Pearson, S Olver, MA Porter
Numerical Algorithms 74 (3), 821-866, 2017
622017
Preconditioners for state constrained optimal control problems with Moreau-Yosida penalty function
JW Pearson, M Stoll, AJ Wathen
Numerical Linear Algebra with Applications 21 (1), 81-97, 2012
512012
Fast iterative solvers for convection-diffusion control problems
JW Pearson, AJ Wathen
Electron. Trans. Numer. Anal 40, 294-310, 2013
462013
Fast iterative solution of reaction-diffusion control problems arising from chemical processes
JW Pearson, M Stoll
SIAM Journal on Scientific Computing 35 (5), B987-B1009, 2013
402013
Fast tensor product solvers for optimization problems with fractional differential equations as constraints
S Dolgov, JW Pearson, DV Savostyanov, M Stoll
Applied Mathematics and Computation 273, 604-623, 2016
342016
Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization
JW Pearson, J Gondzio
232015
Preconditioned iterative methods for Navier–Stokes control problems
JW Pearson
Journal of Computational Physics 292, 194-207, 2015
222015
A radial basis function method for solving PDE-constrained optimization problems
JW Pearson
Numerical Algorithms 64 (3), 481-506, 2013
192013
Fast solvers for optimal control problems from pattern formation
M Stoll, JW Pearson, PK Maini
Journal of Computational Physics 304, 27-45, 2016
182016
A preconditioner for the Ohta-Kawasaki equation
PE Farrell, JW Pearson
152016
On the development of parameter-robust preconditioners and commutator arguments for solving Stokes control problems
JW Pearson
Electron. Trans. Numer. Anal 44, 53-72, 2015
112015
Refined saddle-point preconditioners for discretized Stokes problems
JW Pearson, J Pestana, DJ Silvester
102016
Fast iterative solvers for an optimal transport problem
R Herzog, JW Pearson, M Stoll
Advances in Computational Mathematics 45 (2), 495-517, 2019
92019
A rational deferred correction approach to parabolic optimal control problems
S Güttel, JW Pearson
IMA Journal of Numerical Analysis 38 (4), 1861-1892, 2018
92018
On the role of commutator arguments in the development of parameter-robust preconditioners for Stokes control problems
JW Pearson
92013
A new preconditioning approach for an interior point‐proximal method of multipliers for linear and convex quadratic programming
L Bergamaschi, J Gondzio, Á Martínez, JW Pearson, S Pougkakiotis
Numerical Linear Algebra with Applications 28 (4), e2361, 2021
82021
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Artikler 1–20