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2020 – today
- 2023
[i18]Bas Symoens, Wim Vanroose:
Residual QPAS subspace (ResQPASS) algorithm for bounded-variable least squares (BVLS) with superlinear Krylov convergence. CoRR abs/2302.13616 (2023)- 2022
- [i17]Jacob Snoeijer, Wim Vanroose:
Solving for the low-rank tensor components of a scattering wave function. CoRR abs/2203.10979 (2022) - 2021
- [j32]Olaf Schenk, Peter Arbenz, Luc Giraud, Wim Vanroose:
Guest editorial: Virtual special issue on parallel matrix algorithms and applications (PMAA'18). Parallel Comput. 102: 102720 (2021) - [i16]Wim Vanroose, Jeffrey Cornelis:
Krylov-Simplex method that minimizes the residual in 𝓁1-norm or 𝓁∞-norm. CoRR abs/2101.11416 (2021) - [i15]Jeffrey Cornelis, Wim Vanroose:
Sequential Projected Newton method for regularization of nonlinear least squares problems. CoRR abs/2105.04988 (2021) - 2020
- [j31]Koen Ruymbeek
, Wim Vanroose:
Algorithm for the reconstruction of dynamic objects in CT-scanning using optical flow. J. Comput. Appl. Math. 367 (2020) - [j30]Emmanuel Agullo, Siegfried Cools, Emrullah Fatih Yetkin, Luc Giraud, Nick Schenkels, Wim Vanroose:
On Soft Errors in the Conjugate Gradient Method: Sensitivity and Robust Numerical Detection. SIAM J. Sci. Comput. 42(6): C335-C358 (2020) - [i14]Jeffrey Cornelis, Wim Vanroose:
Projected Newton method for noise constrained 𝓁p regularization. CoRR abs/2005.02687 (2020)
2010 – 2019
- 2019
- [j29]Nick Schenkels, Wim Vanroose:
Regula falsi based automatic regularization method for PDE constrained optimization. J. Comput. Appl. Math. 348: 14-25 (2019) - [j28]Michiel Wouters, Wim Vanroose:
Automatic Exploration Techniques of Numerical Bifurcation Diagrams Illustrated by the Ginzburg-Landau Equation. SIAM J. Appl. Dyn. Syst. 18(4): 2047-2098 (2019) - [j27]Michiel Van Dyck, Xavier Woot de Trixhe, An Vermeulen, Wim Vanroose:
A Robust Simulator for Physiologically Structured Population Models. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 851-864 (2019) - [j26]Siegfried Cools, Jeffrey Cornelis, Wim Vanroose:
Numerically Stable Recurrence Relations for the Communication Hiding Pipelined Conjugate Gradient Method. IEEE Trans. Parallel Distributed Syst. 30(11): 2507-2522 (2019) - [c10]Jonas Thies, Michiel Wouters, Rebekka-Sarah Hennig, Wim Vanroose:
Towards Scalable Automatic Exploration of Bifurcation Diagrams for Large-Scale Applications. ENUMATH 2019: 981-989 - [i13]Siegfried Cools, Jeffrey Cornelis, Wim Vanroose:
Numerically Stable Recurrence Relations for the Communication Hiding Pipelined Conjugate Gradient Method. CoRR abs/1902.03100 (2019) - [i12]Siegfried Cools, Jeffrey Cornelis, Pieter Ghysels, Wim Vanroose:
Improving strong scaling of the Conjugate Gradient method for solving large linear systems using global reduction pipelining. CoRR abs/1905.06850 (2019) - [i11]Jeffrey Cornelis, Nick Schenkels, Wim Vanroose:
Projected Newton Method for noise constrained Tikhonov regularization. CoRR abs/1910.08432 (2019) - 2018
- [j25]Siegfried Cools, Emrullah Fatih Yetkin, Emmanuel Agullo, Luc Giraud, Wim Vanroose:
Analyzing the Effect of Local Rounding Error Propagation on the Maximal Attainable Accuracy of the Pipelined Conjugate Gradient Method. SIAM J. Matrix Anal. Appl. 39(1): 426-450 (2018) - [i10]Jeffrey Cornelis, Siegfried Cools, Wim Vanroose:
The Communication-Hiding Conjugate Gradient Method with Deep Pipelines. CoRR abs/1801.04728 (2018) - 2017
- [j24]Valdemar Melicher, Tom Haber, Wim Vanroose:
Fast derivatives of likelihood functionals for ODE based models using adjoint-state method. Comput. Stat. 32(4): 1621-1643 (2017) - [j23]Siegfried Cools, Wim Vanroose:
The communication-hiding pipelined BiCGstab method for the parallel solution of large unsymmetric linear systems. Parallel Comput. 65: 1-20 (2017) - [c9]Simplice Donfack, Patrick Sanan, Olaf Schenk, Bram Reps, Wim Vanroose:
A High Arithmetic Intensity Krylov Subspace Method Based on Stencil Compiler Programs. HPCSE 2017: 1-18 - [c8]Siegfried Cools, Wim Vanroose:
On Parallel Performance and Numerical Stability of Pipelined Conjugate Gradients. PARCO 2017: 77-86 - [i9]Siegfried Cools, Wim Vanroose:
Numerically Stable Variants of the Communication-hiding Pipelined Conjugate Gradients Algorithm for the Parallel Solution of Large Scale Symmetric Linear Systems. CoRR abs/1706.05988 (2017) - 2016
- [j22]Siegfried Cools, Wim Vanroose:
A fast and robust computational method for the ionization cross sections of the driven Schrödinger equation using an O(N) multigrid-based scheme. J. Comput. Phys. 308: 20-39 (2016) - [j21]Ynte Vanderhoydonc, Wim Vanroose:
Constrained Runs Algorithm as a Lifting Operator for the One-Dimensional in Space Boltzmann Equation with BGK Collision Term. Multiscale Model. Simul. 14(4): 1488-1512 (2016) - [c7]Siegfried Cools, Wim Vanroose, Emrullah Fatih Yetkin, Emmanuel Agullo, Luc Giraud:
On rounding error resilience, maximal attainable accuracy and parallel performance of the pipelined Conjugate Gradients method for large-scale linear systems in PETSc. EASC 2016: 3:1-3:10 - [c6]Emmanuel Agullo, Siegfried Cools, Luc Giraud, A. Moreau, Pablo Salas, Wim Vanroose, Emrullah Fatih Yetkin, Mawussi Zounon:
Hard Faults and Soft-Errors: Possible Numerical Remedies in Linear Algebra Solvers. VECPAR 2016: 11-18 - [i8]Siegfried Cools, Wim Vanroose:
The communication-hiding pipelined BiCGStab method for the efficient parallel solution of large unsymmetric linear systems. CoRR abs/1612.01395 (2016) - 2015
- [j20]Siegfried Cools, Pieter Ghysels, Wim van Aarle, Jan Sijbers, Wim Vanroose:
A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems. J. Comput. Appl. Math. 283: 1-16 (2015) - [j19]Pieter Ghysels, Wim Vanroose:
Modeling the Performance of Geometric Multigrid Stencils on Multicore Computer Architectures. SIAM J. Sci. Comput. 37(2) (2015) - [c5]Lubomír Ríha, Tomás Brzobohatý, Alexandros Markopoulos, Tomás Kozubek, Ondrej Meca, Olaf Schenk, Wim Vanroose:
Efficient Implementation of Total FETI Solver for Graphic Processing Units Using Schur Complement. HPCSE 2015: 85-100 - [c4]Delphine Draelants, Przemyslaw Klosiewicz, Jan Broeckhove, Wim Vanroose:
Solving General Auxin Transport Models with a Numerical Continuation Toolbox in Python: PyNCT. HSB 2015: 211-225 - 2014
- [j18]Siegfried Cools, Bram Reps, Wim Vanroose:
A new level-dependent coarse grid correction scheme for indefinite Helmholtz problems. Numer. Linear Algebra Appl. 21(4): 513-533 (2014) - [j17]Pieter Ghysels, Wim Vanroose:
Hiding global synchronization latency in the preconditioned Conjugate Gradient algorithm. Parallel Comput. 40(7): 224-238 (2014) - [j16]Siegfried Cools, Bram Reps, Wim Vanroose:
An Efficient Multigrid Calculation of the Far Field Map for Helmholtz and Schrödinger Equations. SIAM J. Sci. Comput. 36(3) (2014) - [i7]Ynte Vanderhoydonc, Wim Vanroose:
Constrained Runs algorithm as a lifting operator for the Boltzmann equation. CoRR abs/1410.4399 (2014) - [i6]Ynte Vanderhoydonc, Wim Vanroose:
Initialization of lattice Boltzmann models with the help of the numerical Chapman-Enskog expansion. CoRR abs/1410.4428 (2014) - 2013
- [j15]Yuriy Bidasyuk, Wim Vanroose:
Improved convergence of scattering calculations in the oscillator representation. J. Comput. Phys. 234: 60-78 (2013) - [j14]Nico Schlömer, Wim Vanroose:
An optimal linear solver for the Jacobian system of the extreme type-II Ginzburg-Landau problem. J. Comput. Phys. 234: 560-572 (2013) - [j13]Siegfried Cools, Wim Vanroose:
Local Fourier analysis of the complex shifted Laplacian preconditioner for Helmholtz problems. Numer. Linear Algebra Appl. 20(4): 575-597 (2013) - [j12]Pieter Ghysels, Thomas J. Ashby, Karl Meerbergen, Wim Vanroose:
Hiding Global Communication Latency in the GMRES Algorithm on Massively Parallel Machines. SIAM J. Sci. Comput. 35(1) (2013) - [c3]Ynte Vanderhoydonc, Wim Vanroose:
Initialization of Lattice Boltzmann Models with the Help of the Numerical Chapman-Enskog Expansion. ICCS 2013: 1036-1045 - 2012
- [j11]Ynte Vanderhoydonc, Wim Vanroose:
Numerical Extraction of a Macroscopic PDE and a Lifting Operator from a Lattice Boltzmann Model. Multiscale Model. Simul. 10(3): 766-791 (2012) - [j10]Bram Reps, Wim Vanroose:
Analyzing the wave number dependency of the convergence rate of a multigrid preconditioned Krylov method for the Helmholtz equation with an absorbing layer. Numer. Linear Algebra Appl. 19(2): 232-252 (2012) - [j9]Pieter Ghysels, Przemyslaw Klosiewicz, Wim Vanroose:
Improving the arithmetic intensity of multigrid with the help of polynomial smoothers. Numer. Linear Algebra Appl. 19(2): 253-267 (2012) - [j8]Nico Schlömer, Daniele Avitabile, Wim Vanroose:
Numerical Bifurcation Study of Superconducting Patterns on a Square. SIAM J. Appl. Dyn. Syst. 11(1): 447-477 (2012) - [c2]Thomas J. Ashby, Pieter Ghysels, Wim Heirman, Wim Vanroose:
The Impact of Global Communication Latency at Extreme Scales on Krylov Methods. ICA3PP (1) 2012: 428-442 - [i5]Siegfried Cools, Bram Reps, Wim Vanroose:
An efficient multigrid method calculation of the far field map for Helmholtz problems. CoRR abs/1211.4461 (2012) - 2011
- [j7]Ynte Vanderhoydonc, Wim Vanroose:
Lifting in hybrid lattice Boltzmann and PDE models. Comput. Vis. Sci. 14(2): 67-78 (2011) - [c1]Wim Heirman, Trevor E. Carlson, Souradip Sarkar, Pieter Ghysels, Wim Vanroose, Lieven Eeckhout:
Using Fast and Accurate Simulation to Explore Hardware/Software Trade-offs in the Multi-Core Era. PARCO 2011: 343-350 - [i4]Ynte Vanderhoydonc, Wim Vanroose:
Numerical extraction of a macroscopic pde and a lifting operator from a lattice Boltzmann model. CoRR abs/1108.4919 (2011) - 2010
- [j6]Jan Broeckhove, Przemyslaw Klosiewicz, Wim Vanroose:
Applying numerical continuation to the parameter dependence of solutions of the Schrödinger equation. J. Comput. Appl. Math. 234(4): 1238-1248 (2010) - [j5]Bram Reps, Wim Vanroose, Hisham Bin Zubair:
On the indefinite Helmholtz equation: Complex stretched absorbing boundary layers, iterative analysis, and preconditioning. J. Comput. Phys. 229(22): 8384-8405 (2010) - [j4]Giovanni Samaey, Wim Vanroose:
An Analysis of Equivalent Operator Preconditioning for Equation-Free Newton-Krylov Methods. SIAM J. Numer. Anal. 48(2): 633-658 (2010) - [i3]Hisham Bin Zubair, Bram Reps, Wim Vanroose:
A preconditioned iterative solver for the scattering solutions of the Schrödinger equation. CoRR abs/1012.4307 (2010) - [i2]Wim Vanroose, Bram Reps, Hisham Bin Zubair:
A polynomial multigrid smoother for the iterative solution of the heterogeneous Helmholtz problem. CoRR abs/1012.5379 (2010)
2000 – 2009
- 2009
- [j3]Przemyslaw Klosiewicz, Jan Broeckhove, Wim Vanroose:
Using pseudo-arclength continuation to trace the resonances of the Schrödinger equation. Comput. Phys. Commun. 180(4): 545-548 (2009) - [i1]Bram Reps, Wim Vanroose, Hisham Bin Zubair:
On the indefinite Helmholtz equation: exterior complex scaled absorbing boundary layers, iterative analysis, and preconditioning. CoRR abs/0912.0180 (2009) - 2008
- [j2]Pieter Van Leemput, Wim Vanroose, Dirk Roose:
Mesoscale Analysis of the Equation-Free Constrained Runs Initialization Scheme. Multiscale Model. Simul. 6(4): 1234-1255 (2008) - 2007
- [j1]Pieter Van Leemput, Christophe Vandekerckhove, Wim Vanroose, Dirk Roose:
Accuracy of Hybrid Lattice Boltzmann/Finite Difference Schemes for Reaction-Diffusion Systems. Multiscale Model. Simul. 6(3): 838-857 (2007)
Coauthor Index
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last updated on 2023-03-01 22:54 CET by the dblp team
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