Martin Stoll

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Peter BennerMax Planck Institute for Dynamics of Complex Technical SystemsPatvirtintas el. paštas mpi-magdeburg.mpg.de
Jessica BoschData Analyst at REWPatvirtintas el. paštas rew.ca
John W PearsonProfessor of Scientific Computing, School of Mathematics, The University of EdinburghPatvirtintas el. paštas ed.ac.uk
Sergey DolgovUniversity of BathPatvirtintas el. paštas bath.ac.uk
Akwum OnwuntaDept. of Industrial and Systems Engineering, Lehigh UniversityPatvirtintas el. paštas lehigh.edu
Tyrone ReesComputational Mathematics Group, Rutherford Appleton LaboratoryPatvirtintas el. paštas stfc.ac.uk
Kai BergermannTU ChemnitzPatvirtintas el. paštas math.tu-chemnitz.de
Tobias BreitenInstitute of Mathematics, Technical University of BerlinPatvirtintas el. paštas tu-berlin.de
Valeria SimonciniProfessor of Numerical Analysis, Universita' di BolognaPatvirtintas el. paštas unibo.it
Kai SundmacherProfessor of Process Systems Engineering, Max Planck Institute for Dynamics of Complex TechnicalPatvirtintas el. paštas mpi-magdeburg.mpg.de
Margherita PorcelliAssociate Professor, University of FlorencePatvirtintas el. paštas unifi.it
Edgar Ivan Sanchez MedinaMax Planck Institute for Dynamics of Complex Technical SystemsPatvirtintas el. paštas mpi-magdeburg.mpg.de
hamdullah yücelMiddle East Technical UniversityPatvirtintas el. paštas metu.edu.tr
Dominik AlfkePhD student, TU ChemnitzPatvirtintas el. paštas math.tu-chemnitz.de
Nick GouldSTFC-Rutherford Appleton LaboratoryPatvirtintas el. paštas stfc.ac.uk
Heike FaßbenderProfessor of Mathematics, Institute for Numerical Analysis, Technische UniversitätPatvirtintas el. paštas tu-braunschweig.de
Wei ZhaoPostdoc in ACE, City University of Hong KongPatvirtintas el. paštas cityu.edu.hk
Toni VolkmerTU ChemnitzPatvirtintas el. paštas mathematik.tu-chemnitz.de
Pedro MercadoSaarland University - University of Tübingen - AWS AI Labs, Amazon Web ServicesPatvirtintas el. paštas amazon.com
Roland HerzogProfessor of Mathematics, Heidelberg UniversityPatvirtintas el. paštas iwr.uni-heidelberg.de

Stebėti

Martin Stoll

TU Chemnitz

Patvirtintas el. paštas mathematik.tu-chemnitz.de - Pagrindinis puslapis

Numerical Analysis Scientific Computing Numerical Linear Algebra Scientific Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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
Block‐triangular preconditioners for PDE‐constrained optimization T Rees, M Stoll Numerical Linear Algebra with Applications 17 (6), 977-996, 2010	110	2010
A low-rank in time approach to PDE-constrained optimization M Stoll, T Breiten SIAM Journal on Scientific Computing, 2015	89	2015
All-at-once solution of time-dependent Stokes control M Stoll, A Wathen Journal of Computational Physics, 2013	89	2013
A fractional inpainting model based on the vector-valued Cahn–Hilliard equation J Bosch, M Stoll	75	2015
Combination Preconditioning and the Bramble–Pasciak Preconditioner M Stoll, A Wathen SIAM Journal on Matrix Analysis and Applications 30 (2), 582-608, 2008	71	2008
Preconditioning for partial differential equation constrained optimization with control constraints M Stoll, A Wathen Numerical Linear Algebra with Applications, 2012	70*	2012
Low-rank solvers for fractional differential equations T BREITEN, V SIMONCINI, M STOLL ETNA, 2016	69*	2016
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, 2014	68	2014
All-at-once preconditioning in PDE-constrained optimization T Rees, M Stoll, AJ Wathen Kybernetika, 2010	67	2010
Low-rank solvers for unsteady Stokes-Brinkman optimal control problem with random data P Benner, S Dolgov, A Onwunta, M Stoll	65	2015
Fast solvers for Cahn--Hilliard inpainting J Bosch, D Kay, M Stoll, AJ Wathen SIAM Journal on Imaging Sciences 7 (1), 67-97, 2014	61	2014
A Krylov–Schur approach to the truncated SVD M Stoll Linear Algebra and its Applications 436 (8), 2795-2806, 2012	54	2012
Preconditioning saddle-point systems with applications in optimization HS Dollar, NIM Gould, M Stoll, AJ Wathen SIAM J. Sci. Comput 32 (1), 249-270, 2010	53	2010
Block-diagonal preconditioning for optimal control problems constrained by PDEs with uncertain inputs P Benner, A Onwunta, M Stoll	52	2015
All-at-once solution of time-dependent PDE-constrained optimization problems M Stoll, A Wathen Unspecified, 2010	52	2010
Graph neural networks for the prediction of infinite dilution activity coefficients EIS Medina, S Linke, M Stoll, K Sundmacher Digital Discovery 1 (3), 216-225, 2022	50	2022
Low Rank Solution of Unsteady Diffusion Equations with Stochastic Coefficients P Benner, A Onwunta, M Stoll	49	2013
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, 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

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