John W Pearson

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Martin StollTU ChemnitzE-mail confirmado em mathematik.tu-chemnitz.de
Jacek GondzioProfessor of Optimization, School of Mathematics, Edinburgh UniversityE-mail confirmado em ed.ac.uk
Santolo LevequePostdoc, University of HoustonE-mail confirmado em central.uh.edu
Angeles Martinez CalomardoUniversity of TriesteE-mail confirmado em dmsa.unipd.it
Andreas PotschkaProfessor for Continuous Optimization, Clausthal University of TechnologyE-mail confirmado em tu-clausthal.de
Jennifer PestanaDepartment of Mathematics and Statistics, University of StrathclydeE-mail confirmado em strath.ac.uk
Spyridon PougkakiotisLecturer in Optimization, King's College LondonE-mail confirmado em kcl.ac.uk
Luca BergamaschiProfessor of Numerical Analysis, University of PaduaE-mail confirmado em dmsa.unipd.it
Sheehan OlverImperial CollegeE-mail confirmado em imperial.ac.uk
Sergey DolgovUniversity of BathE-mail confirmado em bath.ac.uk
Benjamin GoddardReader in Applied Mathematics, University of EdinburghE-mail confirmado em ed.ac.uk
Mason PorterUCLAE-mail confirmado em math.ucla.edu
Stefan GüttelProfessor of Applied Mathematics, University of ManchesterE-mail confirmado em manchester.ac.uk
Margherita PorcelliAssociate Professor, University of FlorenceE-mail confirmado em unifi.it
Dmitry SavostyanovUniversity of Essex, School of Mathematics, Statistics and Actuarial ScienceE-mail confirmado em essex.ac.uk
David J. SilvesterProfessor of Mathematics, University of ManchesterE-mail confirmado em manchester.ac.uk
Philip MainiProfessor of Mathematical BiologyE-mail confirmado em maths.ox.ac.uk
Roland HerzogProfessor of Mathematics, Heidelberg UniversityE-mail confirmado em iwr.uni-heidelberg.de
Jun LiuAssociate Professor of Mathematics, Southern Illinois University, EdwardsvilleE-mail confirmado em siue.edu
Jemima M. TabeartTU EindhovenE-mail confirmado em tue.nl

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John W Pearson

Professor of Scientific Computing, School of Mathematics, The University of Edinburgh

E-mail confirmado em ed.ac.uk - Página inicial

Numerical analysis Numerical linear algebra Preconditioning PDE-constrained optimization


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	231	2011
Fast Iterative Solvers for PDE-Constrained Optimization Problems JW Pearson University of Oxford, 2013	154*	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	154	2012
Computation of hypergeometric functions JW Pearson University of Oxford, 2009	146	2009
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	110	2017
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	68	2012
Preconditioners for Krylov subspace methods: An overview JW Pearson, J Pestana GAMM‐Mitteilungen 43 (4), e202000015, 2020	63	2020
Fast iterative solvers for convection-diffusion control problems J Pearson, A Wathen ETNA, 2011	62	2011
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	48	2016
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	47	2013
Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization JW Pearson, J Gondzio	46	2015
Preconditioned iterative methods for Navier–Stokes control problems JW Pearson Journal of Computational Physics 292, 194-207, 2015	29	2015
A radial basis function method for solving PDE-constrained optimization problems JW Pearson Numerical algorithms 64, 481-506, 2013	29	2013
Interior‐point methods and preconditioning for PDE‐constrained optimization problems involving sparsity terms JW Pearson, M Porcelli, M Stoll Numerical Linear Algebra with Applications 27 (2), e2276, 2020	28	2020
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	25	2021
Fast solvers for optimal control problems from pattern formation M Stoll, JW Pearson, PK Maini Journal of Computational Physics 304, 27-45, 2016	21	2016
A preconditioner for the Ohta-Kawasaki equation PE Farrell, JW Pearson	20	2016
Refined saddle-point preconditioners for discretized Stokes problems JW Pearson, J Pestana, DJ Silvester	15	2016
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	15	2015
Fast iterative solvers for an optimal transport problem R Herzog, JW Pearson, M Stoll Advances in Computational Mathematics 45, 495-517, 2019	14	2019

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