Michiel Hochstenbach
Some numerical software, programmed by Michiel Hochstenbach and coauthors
Matrix eigenvalue problems
Eigenvalue Tools
The Jacobi-Davidson Gateway
Jacobi-Davidson for the singular value problem
(JDSVD) (Matlab)
Multiparameter eigenvalue problems
(Bor Plestenjak, Matlab)
Roots of bivariate polynomials via multiparameter eigenvalue problems
(Bor Plestenjak, Matlab)
Data matrix analysis
L-DEIM index selection
(Perfect Gidisu, Matlab)
CUR decomposition
(Perfect Gidisu, Matlab)
CUR with iterative SVDs
(Perfect Gidisu, Matlab)
CUR with block DEIM
(Perfect Gidisu, Matlab)
Generalized CUR decomposition
(Perfect Gidisu, Matlab)
Restricted CUR decomposition
(Perfect Gidisu, Matlab)
Numerical optimization and Clustering
Gradient methods for unconstrained optimization
(Giulia Ferrandi, R)
Limited memory steepest descent methods
(Giulia Ferrandi, Python)
Trace ratio subspace method
(Giulia Ferrandi, Matlab)
Biclustering
(Sibylle Hess, Python)
Various
Balancing for (large, sparse) matrices
(Ian Zwaan, C)
Michiel Hochstenbach
Email:
(m.e.hochstenbach tue nl)