Martin Stoll

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Peter BennerMax Planck Institute for Dynamics of Complex Technical SystemsVerified email at mpi-magdeburg.mpg.de
Jessica BoschData Scientist at Cascadia ScientificVerified email at cascadiascientific.com
John W PearsonReader, School of Mathematics, The University of EdinburghVerified email at ed.ac.uk
Akwum OnwuntaDept. of Industrial and Systems Engineering, Lehigh UniversityVerified email at lehigh.edu
Sergey DolgovUniversity of BathVerified email at bath.ac.uk
Tyrone ReesComputational Mathematics Group, Rutherford Appleton LaboratoryVerified email at stfc.ac.uk
Tobias BreitenInstitute of Mathematics, Technical University of BerlinVerified email at tu-berlin.de
Valeria SimonciniProfessor of Numerical Analysis, Universita' di BolognaVerified email at unibo.it
Margherita PorcelliSenior Assistant Professor, University of BolognaVerified email at unibo.it
Kai BergermannTU ChemnitzVerified email at math.tu-chemnitz.de
hamdullah yücelMiddle East Technical UniversityVerified email at metu.edu.tr
Heike FassbenderProfessor of Mathematics, Institute for Numerical Analysis, Technische UniversitätVerified email at tu-braunschweig.de
Nick GouldSTFC-Rutherford Appleton LaboratoryVerified email at stfc.ac.uk
Dominik GarmatterHabilitand TU ChemnitzVerified email at mathematik.tu-chemnitz.de
Toni VolkmerTU ChemnitzVerified email at mathematik.tu-chemnitz.de
Dominik AlfkePhD student, TU ChemnitzVerified email at math.tu-chemnitz.de
Jens SaakSenior Scientist, Max Planck Institute for Dynamics of Complex Technical SystemsVerified email at mpi-magdeburg.mpg.de
Heiko K. WeicheltResearch assistant, Max-Planck-Institute for Dynamics of Complex Technical Systems MagdeburgVerified email at mpi-magdeburg.mpg.de
Andrew T. BarkerMath Algorithm Engineer, IntelVerified email at intel.com
Pedro MercadoSaarland University - University of Tübingen - AWS AI Labs, Amazon Web ServicesVerified email at amazon.com

Martin Stoll

TU Chemnitz

Verified email at mathematik.tu-chemnitz.de - Homepage

Numerical Analysis Scientific Computing Numerical Linear Algebra Computational Data Science Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	113	2012
Block‐triangular preconditioners for PDE‐constrained optimization T Rees, M Stoll Numerical Linear Algebra with Applications 17 (6), 977-996, 2010	94	2010
All-at-once solution of time-dependent Stokes control M Stoll, A Wathen Journal of Computational Physics, 2013	76	2013
A low-rank in time approach to PDE-constrained optimization M Stoll, T Breiten SIAM Journal on Scientific Computing, 2015	62	2015
All-at-once preconditioning in PDE-constrained optimization T Rees, M Stoll, AJ Wathen Kybernetika, 2010	62	2010
Combination Preconditioning and the Bramble–Pasciak Preconditioner M Stoll, A Wathen SIAM Journal on Matrix Analysis and Applications 30 (2), 582-608, 2008	61	2008
Low-rank solvers for fractional differential equations T BREITEN, V SIMONCINI, M STOLL ETNA, 2016	60*	2016
Preconditioning for partial differential equation constrained optimization with control constraints M Stoll, A Wathen Numerical Linear Algebra with Applications, 2012	60*	2012
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	56	2014
Low-rank solvers for unsteady Stokes-Brinkman optimal control problem with random data P Benner, S Dolgov, A Onwunta, M Stoll	53	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	49	2014
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	48	2010
All-at-once solution of time-dependent PDE-constrained optimization problems M Stoll, AJ Wathen	45	2010
A fractional inpainting model based on the vector-valued Cahn–Hilliard equation J Bosch, M Stoll	44	2015
Block-diagonal preconditioning for optimal control problems constrained by PDEs with uncertain inputs P Benner, A Onwunta, M Stoll	41	2015
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	41	2013
A Krylov–Schur approach to the truncated SVD M Stoll Linear Algebra and its Applications 436 (8), 2795-2806, 2012	41	2012
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	38	2016
Low Rank Solution of Unsteady Diffusion Equations with Stochastic Coefficients P Benner, A Onwunta, M Stoll	37	2013
A Hamiltonian Krylov-Schur-type method based on the symplectic Lanczos process P Benner, H Faßbender, M Stoll Linear Algebra and its Applications, 2010	35	2010

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