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- Martin B. van Gijzen
aka: Martin Bastiaan van Gijzen
Delft University of Technology, Netherlands
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Publication search results
found 39 matches
- 2022
- Xiujie Shan, Martin B. van Gijzen:
Deflated preconditioned Conjugate Gradient methods for noise filtering of low-field MR images. J. Comput. Appl. Math. 400: 113730 (2022) - Xiujie Shan, Martin B. van Gijzen:
Parareal Method for Anisotropic Diffusion Denoising. PPAM (2) 2022: 313-322 - 2021
- Yue Qiu, Martin B. van Gijzen, Jan-Willem van Wingerden, Michel Verhaegen, Cornelis Vuik:
Preconditioning Navier-Stokes control using multilevel sequentially semiseparable matrix computations. Numer. Linear Algebra Appl. 28(2) (2021) - 2020
- Emmanuel Ahishakiye, Martin Bastiaan van Gijzen, Julius Tumwiine, Johnes Obungoloch:
Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging. BMC Medical Imaging 20(1): 72 (2020) - Merel de Leeuw den Bouter, Dilan Gecmen, Angeline Meijer, Danny de Gans, Lennart Middelplaats, Rob Remis, Martin B. van Gijzen:
Description of a Low-field MRI Scanner Based on Permanent Magnets. CVCS 2020 - Jan Carel Diehl, Frank van Doesum, Martien Bakker, Martin B. van Gijzen, Thomas O'Reilly, Ivan Muhumuza, Johnes Obungoloch, Edith Mbabazi Kabachelor:
The embodiment of low-field MRI for the diagnosis of infant hydrocephalus in Uganda. GHTC 2020: 1-8 - 2019
- Reinaldo Astudillo, J. M. de Gier, Martin B. van Gijzen:
Accelerating the Induced Dimension Reduction method using spectral information. J. Comput. Appl. Math. 345: 33-47 (2019) - Merel de Leeuw den Bouter, Martin B. van Gijzen, Robert F. Remis:
CG Variants for General-Form Regularization with an Application to Low-Field MRI. ENUMATH 2019: 673-681 - Xiujie Shan, Martin B. van Gijzen:
Deflated Preconditioned Conjugate Gradients for Nonlinear Diffusion Image Enhancement. ENUMATH 2019: 459-468 - Lisa Steverink, Thijs Veugen, Martin B. van Gijzen:
Approximating Eigenvectors with Fixed-Point Arithmetic: A Step Towards Secure Spectral Clustering. ENUMATH 2019: 1129-1136 - 2018
- Manuel Baumann, Martin B. van Gijzen:
Convergence and complexity study of GMRES variants for solving multi-frequency elastic wave propagation problems. J. Comput. Sci. 26: 285-293 (2018) - 2017
- Mian Ilyas Ahmad, Daniel B. Szyld, Martin B. van Gijzen:
Preconditioned Multishift BiCG for ℋ2-Optimal Model Reduction. SIAM J. Matrix Anal. Appl. 38(2): 401-424 (2017) - Manuel Baumann, Martin B. van Gijzen:
Efficient iterative methods for multi-frequency wave propagation problems: A comparison study. ICCS 2017: 645-654 - 2016
- Reinaldo Astudillo, Martin B. van Gijzen:
A restarted Induced Dimension Reduction method to approximate eigenpairs of large unsymmetric matrices. J. Comput. Appl. Math. 296: 24-35 (2016) - Reinaldo Astudillo, Martin B. van Gijzen:
Induced Dimension Reduction Method for Solving Linear Matrix Equations. ICCS 2016: 222-232 - Reinaldo Astudillo, Martin B. van Gijzen:
Induced Dimension Reduction Method to Solve the Quadratic Eigenvalue Problem. NAA 2016: 203-211 - 2015
- Alex Sangers, Martin B. van Gijzen:
The eigenvectors corresponding to the second eigenvalue of the Google matrix and their relation to link spamming. J. Comput. Appl. Math. 277: 192-201 (2015) - Martin B. van Gijzen, Gerard L. G. Sleijpen, Jens-Peter M. Zemke:
Flexible and multi-shift induced dimension reduction algorithms for solving large sparse linear systems. Numer. Linear Algebra Appl. 22(1): 1-25 (2015) - Manuel Baumann, Martin B. van Gijzen:
Nested Krylov Methods for Shifted Linear Systems. SIAM J. Sci. Comput. 37(5) (2015) - Reinaldo Astudillo, Martin B. van Gijzen:
The Induced Dimension Reduction Method Applied to Convection-Diffusion-Reaction Problems. ENUMATH 2015: 295-303 - 2014
- Yue Qiu, Martin B. van Gijzen, Jan-Willem van Wingerden, Michel Verhaegen:
On the application of a novel model order reduction algorithm for sequentially semi-separable matrices to the identification of one-dimensional distributed systems. ECC 2014: 2750-2755 - Rohit Gupta, Martin B. van Gijzen, Kees Vuik:
Multi-GPU/CPU deflated preconditioned conjugate gradient for bubbly flow solver. SpringSim (HPS) 2014: 14 - 2013
- T. B. Jönsthövel, Martin B. van Gijzen, Cornelis Vuik, A. Scarpas:
On the Use of Rigid Body Modes in the Deflated Preconditioned Conjugate Gradient Method. SIAM J. Sci. Comput. 35(1) (2013) - Rohit Gupta, Martin Bastiaan van Gijzen, Cornelis Vuik:
3D Bubbly Flow Simulation on the GPU - Iterative Solution of a Linear System Using Sub-domain and Level-Set Deflation. PDP 2013: 359-366 - 2012
- Rohit Gupta, Martin B. van Gijzen, Cornelis Vuik:
Efficient Two-Level Preconditioned Conjugate Gradient Method on the GPU. VECPAR 2012: 36-49 - 2011
- Tijmen P. Collignon, Martin B. van Gijzen:
Fast iterative solution of large sparse linear systems on geographically separated clusters. Int. J. High Perform. Comput. Appl. 25(4): 440-450 (2011) - Tijmen P. Collignon, Martin B. van Gijzen:
Minimizing synchronization in IDR (s). Numer. Linear Algebra Appl. 18(5): 805-825 (2011) - Martin B. van Gijzen, Peter Sonneveld:
Algorithm 913: An elegant IDR(s) variant that efficiently exploits biorthogonality properties. ACM Trans. Math. Softw. 38(1): 5:1-5:19 (2011) - 2010
- Tijmen P. Collignon, Martin B. van Gijzen:
Two implementations of the preconditioned conjugate gradient method on heterogeneous computing grids. Int. J. Appl. Math. Comput. Sci. 20(1): 109-121 (2010) - Gerard L. G. Sleijpen, Martin B. van Gijzen:
Exploiting BiCGstab(ℓ) Strategies to Induce Dimension Reduction. SIAM J. Sci. Comput. 32(5): 2687-2709 (2010)
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