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Raf Vandebril
Raf Vandebril
Professor Dept. Computerwetenschappen, KU Leuven
Verified email at cs.kuleuven.be
Title
Cited by
Cited by
Year
A new truncation strategy for the higher-order singular value decomposition
N Vannieuwenhoven, R Vandebril, K Meerbergen
SIAM Journal on Scientific Computing 34 (2), A1027-A1052, 2012
3122012
Matrix computations and semiseparable matrices: linear systems
R Vandebril, M Van Barel, N Mastronardi
JHU Press, 2008
282*2008
A bibliography on semiseparable matrices
R Vandebril, MV Barel, G Golub, N Mastronardi
Calcolo 42, 249-270, 2005
1552005
A survey and comparison of contemporary algorithms for computing the matrix geometric mean
B Jeuris, R Vandebril, B Vandereycken
Electronic Transactions on Numerical Analysis 39, 379-402, 2012
1452012
A note on the representation and definition of semiseparable matrices
R Vandebril, M Van Barel, N Mastronardi
Numerical Linear Algebra with Applications 12 (8), 839-858, 2005
932005
Implicit double shift QR-algorithm for companion matrices
M Van Barel, R Vandebril, P Van Dooren, K Frederix
Numerische Mathematik 116 (2), 177-212, 2010
692010
Fast and backward stable computation of roots of polynomials
JL Aurentz, T Mach, R Vandebril, DS Watkins
SIAM Journal on Matrix Analysis and Applications 36 (3), 942-973, 2015
652015
An implicit QR algorithm for symmetric semiseparable matrices
R Vandebril, M Van Barel, N Mastronardi
Numerical Linear Algebra with Applications 12 (7), 625-658, 2005
452005
The Kahler mean of block-Toeplitz matrices with Toeplitz structured blocks
B Jeuris, R Vandebril
SIAM Journal on matrix analysis and applications 37 (3), 1151-1175, 2016
412016
Chasing bulges or rotations? A metamorphosis of the QR-algorithm
R Vandebril
SIAM Journal on Matrix Analysis and Applications 32 (1), 217-247, 2011
402011
Core-chasing algorithms for the eigenvalue problem
JL Aurentz, T Mach, L Robol, R Vandebril, DS Watkins
Society for Industrial and Applied Mathematics, 2018
372018
A framework for structured linearizations of matrix polynomials in various bases
L Robol, R Vandebril, PV Dooren
SIAM Journal on Matrix Analysis and Applications 38 (1), 188-216, 2017
372017
Computing the gradient in optimization algorithms for the CP decomposition in constant memory through tensor blocking
N Vannieuwenhoven, K Meerbergen, R Vandebril
SIAM Journal on Scientific Computing 37 (3), C415-C438, 2015
362015
On the convergence of rational Ritz values
B Beckermann, S Güttel, R Vandebril
SIAM Journal on Matrix Analysis and Applications 31 (4), 1740-1774, 2010
362010
Fast computation of the zeros of a polynomial via factorization of the companion matrix
JL Aurentz, R Vandebril, DS Watkins
SIAM Journal on Scientific Computing 35 (1), A255-A269, 2013
352013
Protein fold recognition using geometric kernel data fusion
P Zakeri, B Jeuris, R Vandebril, Y Moreau
Bioinformatics 30 (13), 1850-1857, 2014
302014
An orthogonal similarity reduction of a matrix into semiseparable form
M Van Barel, R Vandebril, N Mastronardi
SIAM Journal on Matrix Analysis and Applications 27 (1), 176-197, 2005
302005
On generic nonexistence of the Schmidt--Eckart--Young decomposition for complex tensors
N Vannieuwenhoven, J Nicaise, R Vandebril, K Meerbergen
SIAM Journal on Matrix Analysis and Applications 35 (3), 886-903, 2014
292014
Geometric means of structured matrices
DA Bini, B Iannazzo, B Jeuris, R Vandebril
BIT Numerical Mathematics 54 (1), 55-83, 2014
262014
A fast algorithm for the recursive calculation of dominant singular subspaces
N Mastronardi, M Van Barel, R Vandebril
Journal of Computational and Applied Mathematics 218 (2), 238-246, 2008
26*2008
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