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Haasdonk, B.
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1

Randomized Symplectic Model Order Reduction for Hamiltonian..:

, In: Large-Scale Scientific Computations; Lecture Notes in Computer Science,
Herkert, R. ; Buchfink, P. ; Haasdonk, B... - p. 99-107 , 2024
Link: https://doi.org/10.1007/..
 
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2

Kernel methods for center manifold approximation and a weak..:

Haasdonk, B. ; Hamzi, B. ; Santin, G..
Physica D: Nonlinear Phenomena.  427 (2021)  - p. 133007 , 2021
Link: https://doi.org/10.1016/..
 
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3

A POD–EIM reduced two-scale model for precipitation in poro..:

Redeker, M. ; Haasdonk, B.
Mathematical and Computer Modelling of Dynamical Systems.  22 (2016)  4 - p. 323-344 , 2016
Link: https://doi.org/10.1080/..
 
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4

Reduced Basis Methods for Pricing Options with the Black--S..:

Burkovska, O. ; Haasdonk, B. ; Salomon, J..
SIAM Journal on Financial Mathematics.  6 (2015)  1 - p. 685-712 , 2015
Link: https://doi.org/10.1137/..
 
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5

A Dirichlet–Neumann reduced basis method for homogeneous do..:

Maier, I. ; Haasdonk, B.
Applied Numerical Mathematics.  78 (2014)  - p. 31-48 , 2014
Link: https://doi.org/10.1016/..
 
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6

The localized reduced basis multiscale method for two‐phase..:

Kaulmann, S. ; Flemisch, B. ; Haasdonk, B...
International Journal for Numerical Methods in Engineering.  102 (2014)  5 - p. 1018-1040 , 2014
Link: https://doi.org/10.1002/..
 
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7

Surrogate modeling of multiscale models using kernel method..:

Wirtz, D. ; Karajan, N. ; Haasdonk, B.
International Journal for Numerical Methods in Engineering.  101 (2014)  1 - p. 1-28 , 2014
Link: https://doi.org/10.1002/..
 
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8

A Posteriori Error Estimation for DEIM Reduced Nonlinear Dy..:

Wirtz, D. ; Sorensen, D. C. ; Haasdonk, B.
SIAM Journal on Scientific Computing.  36 (2014)  2 - p. A311-A338 , 2014
Link: https://doi.org/10.1137/..
 
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9

Efficient a-posteriori error estimation for nonlinear kerne..:

Wirtz, D. ; Haasdonk, B.
Systems & Control Letters.  61 (2012)  1 - p. 203-211 , 2012
Link: https://doi.org/10.1016/..
 
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10

A REDUCED BASIS METHOD FOR PARAMETRIZED VARIATIONAL INEQUAL..:

HAASDONK, B. ; SALOMON, J. ; WOHLMUTH, B.
SIAM Journal on Numerical Analysis.  50 (2012)  5 - p. 2656-2676 , 2012
Link: https://www.jstor.org/st..
 
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11

Greedy‐based approximation of frequency‐weighted Gramian ma..:

Fehr, J. ; Fischer, M. ; Haasdonk, B..
ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik.  93 (2012)  8 - p. 501-519 , 2012
Link: https://doi.org/10.1002/..
 
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12

Kernel Discriminant Analysis for Positive Definite and Inde..:

Pekalska, E. ; Haasdonk, B.
IEEE Transactions on Pattern Analysis and Machine Intelligence.  31 (2009)  6 - p. 1017-1032 , 2009
Link: https://doi.org/10.1109/..
 
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13

Feature space interpretation of SVMs with indefinite kernel:

Haasdonk, B.
IEEE Transactions on Pattern Analysis and Machine Intelligence.  27 (2005)  4 - p. 482-492 , 2005
Link: https://doi.org/10.1109/..
 
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14

Multiresolution Visualization of Higher Order Adaptive Fini..:

Haasdonk, B. ; Ohlberger, M. ; Rumpf, M...
Computing.  70 (2003)  3 - p. 181-204 , 2003
Link: https://doi.org/10.1007/..
 
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15

Analysis of Target Data-Dependent Greedy Kernel Algorithms:..:

Wenzel T ; Santin G ; Haasdonk B
info:eu-repo/semantics/altIdentifier/wos/WOS:000869641300002.  , 2023
Link: https://hdl.handle.net/1..
 
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