John W Pearson 个人学术档案

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Martin StollTU Chemnitz在 mathematik.tu-chemnitz.de 的电子邮件经过验证
Jacek GondzioProfessor of Optimization, School of Mathematics, Edinburgh University在 ed.ac.uk 的电子邮件经过验证
Santolo LevequePostdoc, Scuola Normale Superiore在 sns.it 的电子邮件经过验证
Angeles Martinez CalomardoUniversity of Trieste在 dmsa.unipd.it 的电子邮件经过验证
Jennifer PestanaDepartment of Mathematics and Statistics, University of Strathclyde在 strath.ac.uk 的电子邮件经过验证
Spyridon PougkakiotisLecturer in Optimization, King's College London在 kcl.ac.uk 的电子邮件经过验证
Sheehan OlverImperial College在 imperial.ac.uk 的电子邮件经过验证
Andreas PotschkaProfessor for Continuous Optimization, Clausthal University of Technology在 tu-clausthal.de 的电子邮件经过验证
Luca BergamaschiProfessor of Numerical Analysis, University of Padua在 dmsa.unipd.it 的电子邮件经过验证
Sergey DolgovUniversity of Bath在 bath.ac.uk 的电子邮件经过验证
Mason PorterUCLA在 math.ucla.edu 的电子邮件经过验证
Stefan GüttelProfessor of Applied Mathematics, University of Manchester在 manchester.ac.uk 的电子邮件经过验证
Margherita PorcelliAssociate Professor, University of Bologna在 unibo.it 的电子邮件经过验证
Dmitry SavostyanovUniversity of Essex, School of Mathematics, Statistics and Actuarial Science在 essex.ac.uk 的电子邮件经过验证
David J. SilvesterProfessor of Mathematics, University of Manchester在 manchester.ac.uk 的电子邮件经过验证
Philip MainiProfessor of Mathematical Biology在 maths.ox.ac.uk 的电子邮件经过验证
Roland HerzogProfessor of Mathematics, Heidelberg University在 iwr.uni-heidelberg.de 的电子邮件经过验证
Jun LiuAssociate Professor of Mathematics, Southern Illinois University, Edwardsville在 siue.edu 的电子邮件经过验证
Jemima M. TabeartTU Eindhoven在 tue.nl 的电子邮件经过验证

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John W Pearson

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

在 ed.ac.uk 的电子邮件经过验证 - 首页

Numerical analysis Numerical linear algebra Preconditioning PDE-constrained optimization


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	225	2011
Fast Iterative Solvers for PDE-Constrained Optimization Problems JW Pearson University of Oxford, 2013	144*	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	144	2012
Computation of hypergeometric functions JW Pearson University of Oxford, 2009	144	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	104	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	65	2012
Fast iterative solvers for convection-diffusion control problems J Pearson, A Wathen ETNA, 2011	58	2011
Preconditioners for Krylov subspace methods: An overview JW Pearson, J Pestana GAMM‐Mitteilungen 43 (4), e202000015, 2020	54	2020
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	45	2013
Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization JW Pearson, J Gondzio	43	2015
Preconditioned iterative methods for Navier–Stokes control problems JW Pearson Journal of Computational Physics 292, 194-207, 2015	29	2015
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 radial basis function method for solving PDE-constrained optimization problems JW Pearson Numerical algorithms 64, 481-506, 2013	26	2013
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	23	2021
Fast solvers for optimal control problems from pattern formation M Stoll, JW Pearson, PK Maini Journal of Computational Physics 304, 27-45, 2016	20	2016
A preconditioner for the Ohta-Kawasaki equation PE Farrell, JW Pearson	19	2016
Fast iterative solvers for an optimal transport problem R Herzog, JW Pearson, M Stoll Advances in Computational Mathematics 45, 495-517, 2019	14	2019
Refined saddle-point preconditioners for discretized Stokes problems JW Pearson, J Pestana, DJ Silvester	14	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	14	2015

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