Hans De Sterck
Orcid: 0000-0002-1641-932X
According to our database1,
Hans De Sterck
authored at least 89 papers
between 2003 and 2024.
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Bibliography
2024
Multilevel Monte Carlo Methods for Stochastic Convection-Diffusion Eigenvalue Problems.
J. Sci. Comput., June, 2024
J. Sci. Comput., April, 2024
SIAM J. Sci. Comput., February, 2024
MGProx: A Nonsmooth Multigrid Proximal Gradient Method with Adaptive Restriction for Strongly Convex Optimization.
SIAM J. Optim., 2024
Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear Systems.
CoRR, 2024
Parallel-in-time solution of hyperbolic PDE systems via characteristic-variable block preconditioning.
CoRR, 2024
CoRR, 2024
2023
Fast Multigrid Reduction-in-Time for Advection via Modified Semi-Lagrangian Coarse-Grid Operators.
SIAM J. Sci. Comput., August, 2023
Efficient Multigrid Reduction-in-Time for Method-of-Lines Discretizations of Linear Advection.
J. Sci. Comput., July, 2023
J. Comput. Phys., July, 2023
J. Sci. Comput., June, 2023
High-Order CENO Finite-Volume Scheme with Anisotropic Adaptive Mesh Refinement: Efficient Inexact Newton Method for Steady Three-Dimensional Flows.
J. Sci. Comput., February, 2023
CoRR, 2023
Fast Multipole Attention: A Divide-and-Conquer Attention Mechanism for Long Sequences.
CoRR, 2023
2022
SIAM J. Matrix Anal. Appl., December, 2022
Fast Solution of Fully Implicit Runge-Kutta and Discontinuous Galerkin in Time for Numerical PDEs, Part I: the Linear Setting.
SIAM J. Sci. Comput., 2022
Efficient Algebraic Multigrid Methods for Multilevel Overlapping Coclustering of User-Item Relationships.
INFORMS J. Comput., 2022
Multigrid reduction-in-time convergence for advection problems: A Fourier analysis perspective.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
On the Asymptotic Linear Convergence Speed of Anderson Acceleration, Nesterov Acceleration, and Nonlinear GMRES.
SIAM J. Sci. Comput., 2021
Local Fourier Analysis of Multigrid for Hybridized and Embedded Discontinuous Galerkin Methods.
SIAM J. Sci. Comput., 2021
Optimizing multigrid reduction-in-time and Parareal coarse-grid operators for linear advection.
Numer. Linear Algebra Appl., 2021
J. Sci. Comput., 2021
Anderson Acceleration as a Krylov Method with Application to Asymptotic Convergence Analysis.
CoRR, 2021
Fast parallel solution of fully implicit Runge-Kutta and discontinuous Galerkin in time for numerical PDEs, Part I: the linear setting.
CoRR, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Numer. Linear Algebra Appl., 2020
Nesterov acceleration of alternating least squares for canonical tensor decomposition: Momentum step size selection and restart mechanisms.
Numer. Linear Algebra Appl., 2020
N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations.
CoRR, 2020
Quantifying the asymptotic linear convergence speed of Anderson Acceleration applied to ADMM.
CoRR, 2020
2019
Parallel-In-Time Multigrid with Adaptive Spatial Coarsening for The Linear Advection and Inviscid Burgers Equations.
SIAM J. Sci. Comput., 2019
J. Sci. Comput., 2019
2018
Nonlinearly preconditioned L-BFGS as an acceleration mechanism for alternating least squares with application to tensor decomposition.
Numer. Linear Algebra Appl., 2018
J. Complex Networks, 2018
2017
2016
SIAM J. Sci. Comput., 2016
Nonlinearly Preconditioned Optimization on Grassmann Manifolds for Computing Approximate Tucker Tensor Decompositions.
SIAM J. Sci. Comput., 2016
GeoTextTagger: High-Precision Location Tagging of Textual Documents using a Natural Language Processing Approach.
CoRR, 2016
A hierarchy of linear threshold models for the spread of political revolutions on social networks.
J. Complex Networks, 2016
A polynomial expansion line search for large-scale unconstrained minimization of smooth <i>L</i><sub>2</sub>-regularized loss functions, with implementation in Apache Spark.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
2015
A nonlinearly preconditioned conjugate gradient algorithm for rank-<i>R</i> canonical tensor approximation.
Numer. Linear Algebra Appl., 2015
High-order central ENO finite-volume scheme for hyperbolic conservation laws on three-dimensional cubed-sphere grids.
J. Comput. Phys., 2015
A polynomial expansion line search for large-scale unconstrained minimization of smooth L2-regularized loss functions, with implementation in Apache Spark.
CoRR, 2015
Algorithmic Acceleration of Parallel ALS for Collaborative Filtering: Speeding up Distributed Big Data Recommendation in Spark.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015
2014
Cluster Newton Method for Sampling Multiple Solutions of Underdetermined Inverse Problems: Application to a Parameter Identification Problem in Pharmacokinetics.
SIAM J. Sci. Comput., 2014
Math. Soc. Sci., 2014
A Nonlinearly Preconditioned Conjugate Gradient Algorithm for Rank-R Canonical Tensor Approximation.
CoRR, 2014
The influence of societal individualism on a century of tobacco use: modelling the prevalence of smoking.
CoRR, 2014
2013
An Adaptive Algebraic Multigrid Algorithm for Low-Rank Canonical Tensor Decomposition.
SIAM J. Sci. Comput., 2013
Numer. Linear Algebra Appl., 2013
Multi-dimensional finite-volume scheme for hyperbolic conservation laws on three-dimensional solution-adaptive cubed-sphere grids.
J. Comput. Phys., 2013
2012
A Self-Learning Algebraic Multigrid Method for Extremal Singular Triplets and Eigenpairs.
SIAM J. Sci. Comput., 2012
SIAM J. Sci. Comput., 2012
2011
HBaseSI: Multi-row Distributed Transactions with Global Strong Snapshot Isolation on Clouds.
Scalable Comput. Pract. Exp., 2011
Augmented high order finite volume element method for elliptic PDEs in non-smooth domains: Convergence study.
J. Comput. Appl. Math., 2011
Iterant recombination with one-norm minimization for multilevel Markov chain algorithms via the ellipsoid method.
Comput. Vis. Sci., 2011
Multilevel Aggregation Methods for Small-World Graphs with Application to Random-Walk Ranking.
Comput. Informatics, 2011
Top-level acceleration of adaptive algebraic multilevel methods for steady-state solution to Markov chains.
Adv. Comput. Math., 2011
2010
SIAM J. Sci. Comput., 2010
Multilevel Space-Time Aggregation for Bright Field Cell Microscopy Segmentation and Tracking.
Int. J. Biomed. Imaging, 2010
Comput. Phys. Commun., 2010
Supporting multi-row distributed transactions with global snapshot isolation using bare-bones HBase.
Proceedings of the 2010 11th IEEE/ACM International Conference on Grid Computing, 2010
Proceedings of the Cloud Computing, Second International Conference, 2010
2009
Proceedings of the High Performance Computing Systems and Applications, 2009
Hybrid MPI-Cell Parallelism for Hyperbolic PDE Simulation on a Cell Processor Cluster.
Proceedings of the High Performance Computing Systems and Applications, 2009
Proceedings of the Cloud Computing, First International Conference, CloudCom 2009, Beijing, 2009
2008
SIAM J. Sci. Comput., 2008
Efficiency-based <i>h</i>- and <i>hp</i>-refinement strategies for finite element methods.
Numer. Linear Algebra Appl., 2008
Numer. Linear Algebra Appl., 2008
2007
SIAM J. Appl. Dyn. Syst., 2007
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007
Proceedings of the Grid Computing for Bioinformatics and Computational Biology, 2007
2006
SIAM J. Matrix Anal. Appl., 2006
2005
Numerical Conservation Properties of H(div)-Conforming Least-Squares Finite Element Methods for the Burgers Equation.
SIAM J. Sci. Comput., 2005
A Lightweight, Scalable Grid Computing Framework for Parallel Bioinformatics Applications.
Proceedings of the 19th Annual International Symposium on High Performance Computing Systems and Applications (HPCS 2005), 2005
2004
Least-Squares Finite Element Methods and Algebraic Multigrid Solvers for Linear Hyperbolic PDEs.
SIAM J. Sci. Comput., 2004
2003
A Lightweight Java Taskspaces Framework for Scientific Computing on Computational Grids.
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003