M. Stoll

发表

Block‐triangular preconditioners for PDE‐constrained optimization

T. Rees, M. Stoll, 2010, Numer. Linear Algebra Appl..

Preconditioners for state‐constrained optimal control problems with Moreau–Yosida penalty function

Martin Stoll, Andrew J. Wathen, John W. Pearson, 2014, Numer. Linear Algebra Appl..

All-at-Once Solution if Time-Dependent PDE-Constrained Optimisation Problems

A. Wathen, M. Stoll, 2010 .

APPROXIMATION OF THE SCATTERING AMPLITUDE AND LINEAR SYSTEMS

A. Wathen, M. Stoll, H. Golub, 2008 .

All-at-once solution of time-dependent Stokes control

Martin Stoll, Andrew J. Wathen, A. Wathen, 2013, J. Comput. Phys..

Preconditioning for active set and projected gradient methods assemi-smooth Newton methods for PDE-constrained optimization with control constraints

A. Wathen, M. Stoll, 2009 .

Low-rank solvers for unsteady Stokes–Brinkman optimal control problem with random data

Peter Benner, Martin Stoll, Sergey Dolgov, 2016, Computer Methods in Applied Mechanics and Engineering.

A Fast Solver for anH1 Regularized PDE-Constrained Optimization Problem

T. Rees, M. Stoll, A. Barker, 2015 .

Low‐rank solution of an optimal control problem constrained by random Navier‐Stokes equations

P. Benner, M. Stoll, S. Dolgov, 2020, International Journal for Numerical Methods in Fluids.

A Bramble-Pasciak-like method with applications in optimization

Martin Stoll, Andrew J. Wathen, H. Sue Dollar, 2008 .

Alkaline-Surfactant-Polymer Flood: From the Laboratory to the Field

John N.M. Van Wunnik, Martin Stoll, Marinus J. Faber, 2010 .

A Hamiltonian Krylov―Schur-type method based on the symplectic Lanczos process

Peter Benner, Martin Stoll, Heike Faßbender, 2011 .

Low-rank solutions to an optimization problem constrained by the Navier-Stokes equations

Martin Stoll, Sergey Dolgov, M. Stoll, 2015 .

Low-Rank Eigenvector Compression of Posterior Covariance Matrices for Linear Gaussian Inverse Problems

MARTIN STOLL, P. Benner, M. Stoll, 2017, SIAM/ASA J. Uncertain. Quantification.

Optimization with Partial Differential Equations

P. Benner, M. Stoll, J. Saak, 2012 .

Number 10 / 47 All-at-Once Solution if Time-Dependent PDE-Constrained Optimisation

By, A. Wathen, M. Stoll, 2010 .

Symmetric Interior Penalty Galerkin Method For Fractional-In-Space Allen-Cahn Equations

M. Stoll, Hamdullah Yücel, 2015 .

Approximation of the scattering amplitude

G. Golub, A. Wathen, M. Stoll, 2007 .

A comparison of PINN approaches for drift-diffusion equations on metric graphs

M. Stoll, M. Winkler, J. Blechschmidt, 2022, ArXiv.

Learning in High-Dimensional Feature Spaces Using ANOVA-Based Fast Matrix-Vector Multiplication

M. Stoll, F. Nestler, Theresa Wagner, 2021, Foundations of Data Science.

Optimal Control for Allen-Cahn Equations Enhanced by Model Predictive Control

P. Benner, M. Stoll, 2013 .

A Fast Multipole Method based on Band-limited Approximations for Radial Basis Functions

Wei Zhao, M. Stoll, 2016, 1606.07652.

Preconditioning for a Phase-Field Model with Application to Morphology Evolution in Organic Semiconductors

R. Herzog, M. Stoll, C. Deibel, 2022, Communications in Computational Physics.

STABILITY ON INTERPOLATION OF SCATTERED DATA VIA KERNELS

Wei Zhao, M. Stoll, 2017 .

Symmetric interior penalty Galerkin method for fractional-in-space phase-field equations

M. Stoll, Hamdullah Yücel, 2018 .

Interior Point Methods for PDE-Constrained Optimization with Sparsity Constraints.

J. Pearson, M. Stoll, Margherita Porcelli, 2018 .

Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution

K. Sundmacher, M. Stoll, S. Linke, 2022, ArXiv.

A literature survey of matrix methods for data science

M. Stoll, 2019, GAMM-Mitteilungen.

Potential of Alkaline Surfactant Polymer (ASP) Flooding in a Medium-Light Oil Reservoir with Strong Bottom Aquifer

M. Stoll, J. V. Wunnik, Fred Arkesteijn, 2014 .

Node Classification for Signed Social Networks Using Diffuse Interface Methods

Martin Stoll, Jessica Bosch, Pedro Mercado, 2018, ECML/PKDD.

Semi-supervised Learning for Aggregated Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix-Vector Products

M. Stoll, Toni Volkmer, Kai Bergermann, 2020, SIAM J. Math. Data Sci..

Semi-supervised Learning for Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector Products pdf

Martin Stoll, Toni Volkmer, Kai Bergermann, 2020, ArXiv.

Node classification for signed networks using diffuse interface methods pdf

Martin Stoll, Jessica Bosch, Pedro Mercado, 2018, ArXiv.

NFFT Meets Krylov Methods: Fast Matrix-Vector Products for the Graph Laplacian of Fully Connected Networks pdf

Martin Stoll, Toni Volkmer, Daniel Potts, 2018, Front. Appl. Math. Stat..

Generalizing Diffuse Interface Methods on Graphs: Nonsmooth Potentials and Hypergraphs

Steffen Klamt, Martin Stoll, Jessica Bosch, 2016, SIAM J. Appl. Math..

Toward Field-Scale Wettability Modification—The Limitations of Diffusive Transport

D. J. Ligthelm, M. Stoll, P. V. D. Hoek, 2008 .

Selecting the “Right” ASP Model by History Matching Core Flood Experiments

V. Karpan, M. Stoll, R. Farajzadeh, 2011 .

Field-scale Wettability Modification - The Limitations of Diffusive Surfactant Transport

D. J. Ligthelm, M. Stoll, P. V. D. Hoek, 2007 .

SSelecting the "Right" ASP Model by History Matching Coreflood Experiments

Martin Stoll, Volodymyr Karpan, Rouhollah Farajzadeh, 2011 .

Plans for Chemical Enhanced Oil Recovery in a North Oman carbonate field

M. Stoll, R. Mjeni, J. V. Wunnik, 2011 .

A low-rank tensor method to reconstruct sparse initial states for PDEs with Isogeometric Analysis pdf

Martin Stoll, Alexandra Bunger, M. Stoll, 2021, ArXiv.

A Low-Rank Tensor Method for PDE-Constrained Optimization with Isogeometric Analysis

Martin Stoll, Alexandra Bünger, S. V. Dolgov, 2018, SIAM J. Sci. Comput..

Fast tensor product solvers for optimization problems with fractional differential equations as constraints

Martin Stoll, S. V. Dolgov, John W. Pearson, 2016, Appl. Math. Comput..

Low-Rank Solvers for Fractional Differential Equations

Martin Stoll, Tobias Breiten, Valeria Simoncini, 2016 .

Fast iterative solvers for fractional dierential equations

Martin Stoll, Tobias Breiten, Valeria Simoncini, 2014 .

Fast Solvers for Cahn-Hilliard Inpainting

Martin Stoll, Jessica Bosch, Andrew J. Wathen, 2014, SIAM J. Imaging Sci..

Adaptive rational Krylov methods for exponential Runge-Kutta integrators

M. Stoll, Kai Bergermann, 2023, ArXiv.

H and O stable isotope compositions of different soil water types - effect of soil properties

M. Stoll, 2014 .

Fast Iterative Solvers for Time Dependent PDE-Constrained Optimization Problems

Martin Stoll, M. Stoll, 2016 .

A Low-Rank in Time Approach to PDE-Constrained Optimization

Martin Stoll, Tobias Breiten, M. Stoll, 2015, SIAM J. Sci. Comput..

Preconditioning PDE-constrained optimization with L1-sparsity and control constraints

Martin Stoll, Valeria Simoncini, Margherita Porcelli, 2016, Comput. Math. Appl..

A fast solver for an H1 regularized PDE-constrained optimization problem

Martin Stoll, Andrew T. Barker, Tyrone Rees, 2016 .

Domain decomposition in time for PDE-constrained optimization

Martin Stoll, Andrew T. Barker, M. Stoll, 2015, Comput. Phys. Commun..

Regularization-Robust Preconditioners for Time-Dependent PDE-Constrained Optimization Problems

Martin Stoll, Andrew J. Wathen, John W. Pearson, 2012, SIAM J. Matrix Anal. Appl..

A Low-Rank Inexact Newton–Krylov Method for Stochastic Eigenvalue Problems

Peter Benner, Martin Stoll, Akwum Onwunta, 2017, Comput. Methods Appl. Math..

From Prediction to Planning With Goal Conditioned Lane Graph Traversals

A. Zell, M. Stoll, Marcel Hallgarten, 2023, ArXiv.

A low-rank matrix equation method for solving PDE-constrained optimization problems pdf

Martin Stoll, Valeria Simoncini, Alexandra Bünger, 2020, SIAM Journal on Scientific Computing.

Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution

K. Sundmacher, M. Stoll, S. Linke, 2022, Digital Discovery.

Discontinuous Galerkin finite element methods with shock-capturing for nonlinear convection dominated models

Peter Benner, Martin Stoll, Hamdullah Yücel, 2013, Comput. Chem. Eng..

Localized radial basis functions-based pseudo-spectral method (LRBF-PSM) for nonlocal diffusion problems

Martin Stoll, Wei Zhao, Yiu-chung Hon, 2017, Comput. Math. Appl..

Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction

A. Zell, M. Stoll, Marcel Hallgarten, 2023, 2306.00605.

RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs pdf

Martin Stoll, Anahita Iravanizad, Edgar Ivan Sanchez Medina, 2021, ArXiv.

Improved penalty algorithm for mixed integer PDE constrained optimization problems

DOMINIK GARMATTER, MARGHERITA PORCELLI, FRANCESCO RINALDI, 2019, Comput. Math. Appl..

Improved Penalty Algorithm for Mixed Integer PDE Constrained Optimization (MIPDECO) Problems pdf

Margherita Porcelli, Francesco Rinaldi, Dominik Garmatter, 2019, ArXiv.

Orientations and matrix function-based centralities in multiplex network analysis of urban public transport

Martin Stoll, Kai Bergermann, M. Stoll, 2021, Applied Network Science.

Combination Preconditioning and the Bramble-Pasciak+ Preconditioner

Martin Stoll, Andrew J. Wathen, A. Wathen, 2008, SIAM J. Matrix Anal. Appl..

Low-Rank Solution of Unsteady Diffusion Equations with Stochastic Coefficients

Peter Benner, Martin Stoll, Akwum Onwunta, 2015, SIAM/ASA J. Uncertain. Quantification.

Numerical simulations of nonlocal phase-field and hyperbolic nonlocal phase-field models via localized radial basis functions-based pseudo-spectral method (LRBF-PSM)

Martin Stoll, Benny Y. C. Hon, Wei Zhao, 2018, Appl. Math. Comput..

Solving differential Riccati equations: A nonlinear space-time method using tensor trains pdf

Martin Stoll, Tobias Breiten, Sergey Dolgov, 2019, Numerical Algebra, Control & Optimization.

Combination preconditioning and self-adjointness in non-standard inner products with application to saddle point problems

Martin Stoll, Andrew J. Wathen, A. Wathen, 2007 .

Power-to-Chemicals: A Superstructure Problem for Sustainable Syngas Production

Peter Benner, Martin Stoll, Kai Sundmacher, 2021 .

A Krylov–Schur approach to the truncated SVD

Martin Stoll, M. Stoll, 2012 .

Preconditioning for partial differential equation constrained optimization with control constraints

Martin Stoll, Andrew J. Wathen, A. Wathen, 2011, Numer. Linear Algebra Appl..

A Fractional Inpainting Model Based on the Vector-Valued Cahn-Hilliard Equation

Martin Stoll, Jessica Bosch, M. Stoll, 2015, SIAM J. Imaging Sci..

Efficient Solution of Large-Scale Saddle Point Systems Arising in Riccati-Based Boundary Feedback Stabilization of Incompressible Stokes Flow

Peter Benner, Martin Stoll, Jens Saak, 2013, SIAM J. Sci. Comput..

Pseudoinverse graph convolutional networks pdf

Martin Stoll, Dominik Alfke, M. Stoll, 2020, Data Mining and Knowledge Discovery.

Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks pdf

Dominik Alfke, Martin Stoll, M. Stoll, 2019, ArXiv.

Fast Iterative Solution of Reaction-Diffusion Control Problems Arising from Chemical Processes

Martin Stoll, John W. Pearson, J. Pearson, 2013, SIAM J. Sci. Comput..

Efficient Structure-preserving Support Tensor Train Machine pdf

Peter Benner, Martin Stoll, Kirandeep Kour, 2020, J. Mach. Learn. Res..

Power-to-Syngas: A Parareal Optimal Control Approach

S. Sager, K. Sundmacher, M. Stoll, 2021, Frontiers in Energy Research.

Fast computation of matrix function-based centrality measures for layer-coupled multiplex networks.

M. Stoll, Kai Bergermann, 2021, Physical review. E.

Fast iterative solvers for an optimal transport problem

R. Herzog, J. Pearson, M. Stoll, 2018, Advances in Computational Mathematics.

Fast iterative solvers for an optimal transport problem

Roland Herzog, Martin Stoll, John W. Pearson, 2018, Adv. Comput. Math..

Fast solution of Cahn-Hilliard variational inequalities using implicit time discretization and finite elements

Peter Benner, Martin Stoll, Jessica Bosch, 2014, J. Comput. Phys..

Fast solvers for optimal control problems from pattern formation

Martin Stoll, Philip K. Maini, John W. Pearson, 2016, J. Comput. Phys..

Preconditioning for Allen-Cahn variational inequalities with non-local constraints

Martin Stoll, Luise Blank, Lavinia Sarbu, 2012, J. Comput. Phys..

Rethinking Integration of Prediction and Planning in Deep Learning-Based Automated Driving Systems: A Review

M. Stoll, A. Condurache, Marcel Hallgarten, 2023, ArXiv.

Adaptive rational Krylov methods for exponential Runge-Kutta integrators

M. Stoll, Kai Bergermann, 2023, SIAM J. Matrix Anal. Appl..

Solving Large-Scale Quadratic Eigenvalue Problems with Hamiltonian eigenstructure using a Structure-Preserving Krylov Subspace Method

Peter Benner, Martin Stoll, Heike Faßbender, 2008 .

Efficient Solvers for Large-Scale Saddle Point Systems Arising in Feedback Stabilization of Multi-field Flow Problems

Peter Benner, Martin Stoll, Jens Saak, 2013, System Modelling and Optimization.

Preconditioning Saddle-Point Systems with Applications in Optimization

Nicholas I. M. Gould, Martin Stoll, Andrew J. Wathen, 2010, SIAM J. Sci. Comput..

All-at-once preconditioning in PDE-constrained optimization

Martin Stoll, Andrew J. Wathen, Tyrone Rees, 2010, Kybernetika.

Efficient numerical methods for gas network modeling and simulation

Sara Grundel, Peter Benner, Martin Stoll, 2018, Networks Heterog. Media.

Optimization of a partial differential equation on a complex network pdf

Max Winkler, Martin Stoll, M. Stoll, 2019, ArXiv.

Uncertainty Propagation of Initial Conditions in Thermal Models

M. Stoll, A. Naumann, Roland Herzog, 2023, ArXiv.

Block-Diagonal Preconditioning for Optimal Control Problems Constrained by PDEs with Uncertain Inputs

Peter Benner, Martin Stoll, Akwum Onwunta, 2016, SIAM J. Matrix Anal. Appl..

Adaptive discontinuous Galerkin approximation of optimal control problems governed by transient convection-diffusion equations

Peter Benner, Martin Stoll, Hamdullah Yücel, 2018, ETNA - Electronic Transactions on Numerical Analysis.

Optimal Dirichlet control of partial differential equations on networks

Martin Stoll, Max Winkler, M. Stoll, 2021 .

Preconditioning of a coupled Cahn--Hilliard Navier--Stokes system

Christian Kahle, Martin Stoll, Jessica Bosch, 2016, 1610.03991.

Preconditioning for Vector-Valued Cahn-Hilliard Equations

Martin Stoll, Jessica Bosch, M. Stoll, 2015, SIAM J. Sci. Comput..

A discontinuous Galerkin method for optimal control problems governed by a system of convection-diffusion PDEs with nonlinear reaction terms

Peter Benner, Martin Stoll, Hamdullah Yücel, 2015, Comput. Math. Appl..

Low-Rank Solution to an Optimization Problem Constrained by the Navier-Stokes Equations

Martin Stoll, S. V. Dolgov, M. Stoll, 2017, SIAM J. Sci. Comput..

From Prediction to Planning With Goal Conditioned Lane Graph Traversals

A. Zell, M. Stoll, Marcel Hallgarten, 2023, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC).

An Empirical Study of Graph-Based Approaches for Semi-supervised Time Series Classification

Martin Stoll, Dominik Alfke, Miriam Gondos, 2021, Frontiers in Applied Mathematics and Statistics.

Rethinking the Integration of Prediction and Planning in Deep Learning-Based Automated Driving Systems: A Review

M. Stoll, A. Condurache, Marcel Hallgarten, 2023, 2308.05731.

A weighted subspace exponential kernel for support tensor machines

P. Benner, M. Stoll, S. Dolgov, 2023, ArXiv.