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Personal profile

Research profile

Michiel Hochstenbach received his PhD degree in mathematics in 2003 at Utrecht University, The Netherlands, in the group of Henk van der Vorst. After a brief postdoc position at Düsseldorf University he became an Assistant Professor at Case Western Reserve University in Cleveland, Ohio. He spent a sabbatical at ULB Brussels. In 2006 he moved to the Department of Mathematics at Eindhoven University of Technology, where he is currently an Associate Professor in the Center of Analysis, Scientific Computing and Application. His research interests include numerical linear algebra, ill-posed and inverse problems, numerical analysis, scientific computing, and numerical algorithms and software. Michiel has been awarded an NSF grant in the US (2004-2007) as well as an NWO Vidi research grant in The Netherlands (2012-2017). He received several best paper awards, and is member of the editor board of various journals. He is advisor or co-advisor of several PhD students, who have won best paper awards themselves.

Fingerprint Dive into the research topics where Michiel E. Hochstenbach is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Jacobi-Davidson Mathematics
Ill-posed Problem Mathematics
Eigenvalue Problem Mathematics
Tikhonov Regularization Mathematics
Polynomial Mathematics
Subspace Mathematics
Two Parameters Mathematics
Polynomials Engineering & Materials Science

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Research Output 1999 2019

Fixing nonconvergence of algebraic iterative reconstruction with an unmatched backprojector

Dong, Y., Hansen, P. C., Hochstenbach, M. E. & Brogaard Riis, N. A., 1 Jan 2019, In : SIAM Journal on Scientific Computing. 41, 3, p. A1822-A1839 18 p.

Research output: Contribution to journalArticleAcademicpeer-review

Tomography
Computed Tomography
Projector
Image reconstruction
Fixed point

Solving singular generalized eigenvalue problems by a rank-completing perturbation

Hochstenbach, M. E., Mehl, C. & Plestenjak, B., 5 Sep 2019, In : SIAM Journal on Matrix Analysis and Applications. 40, 3, p. 1022-1046 25 p.

Research output: Contribution to journalArticleAcademicpeer-review

Generalized Eigenvalue Problem
Perturbation
Eigenvalue
Alternatives

Subspace methods for three-parameter eigenvalue problems

Hochstenbach, M. E., Meerbergen, K., Mengi, E. & Plestenjak, B., 2 Jul 2019, In : Numerical Linear Algebra with Applications. 26, 4, 22 p., e2240

Research output: Contribution to journalArticleAcademicpeer-review

Subspace Methods
Eigenvalue Problem
Jacobi-Davidson
Two Parameters
Helmholtz equation

Advanced Lanczos methods for large-scale matrix problems

Gaaf, S. W., 16 Oct 2017, Eindhoven: Technische Universiteit Eindhoven. 131 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

Open Access
File

Generalized Krylov methods for large-scale matrix problems

Zwaan, I. N., 26 Jun 2017, Eindhoven: Technische Universiteit Eindhoven. 131 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

Open Access
File

Prizes

NWO Vidi Award : Rapid matrix methods

Michiel Hochstenbach (Recipient), 2011

Recognition: NWOVidiScientific

Medicine
Economics
Industry

Courses

Calculus variant 2

1/09/11 → …

Course

Linear algebra and applications

1/09/17 → …

Course

Mathematics 1

1/09/12 → …

Course

Non-linear optimization

1/09/15 → …

Course

Optimization

1/09/15 → …

Course

Student theses

Approximation of inverses of BTTB matrices: for preconditioning applications

Author: Schneider, F., 30 Jan 2017

Supervisor: Hochstenbach, M. (Supervisor 1), Pisarenco, M. (External coach) & Haasdonk, B. (External person) (External coach)

Student thesis: Master

File

Beeld-deblurring

Author: van Koot, K., 2011

Supervisor: Hochstenbach, M. (Supervisor 1)

Student thesis: Bachelor

File

Beeldverscherping: een vergelijking tussen Tikhonov en l1-norm regularisatie aan de hand van FISTA

Author: Dural, A., 26 Feb 2018

Supervisor: Hochstenbach, M. (Supervisor 1)

Student thesis: Bachelor

File

Digit recognition using linear algebra and deep learning

Author: Hofsté, M., 4 Jul 2019

Supervisor: Hochstenbach, M. (Supervisor 1)

Student thesis: Bachelor

File