Abstracts of Talks
-
Marc Van Barel
An overview of the use of rank structured matrices to solve eigenvalue problems -
Yousef Saad
Solving large scale eigenvalue problems in electronic structures calculations -
Hans-Joachim Werner
Local explicit correlation methods -
Sven Beuchler
Sparse shape functions for triangular p-FEM using integrated Jacobi polynomials -
Steven Delvaux
An algorithm for the Hessenberg reduction of rank structured matrices -
Melina Freitag
Inexact inverse iteration and tuned preconditioning -
Francesca Gardini
A posteriori error estimates for eigenvalue problems in mixed form -
Ivan Gavrilyuk
An exponentially convergent algorithm for parallel computation of eigenpairs of operator equations -
Ilgis Ibragimow
Sublinear Complexity of Krylov Subspace Method for Kronecker Product Matrices -
Boris N. Khoromskij
Data-sparse representation of certain matrix-valued functions in high dimensional applications -
Thomas Koprucki
On a finite volume scheme for the computation of quantum confined states in semiconductor nanostructures -
Stefan Kunis
Fast Gauss transforms -
Manfred Liebmann
Time-Dependent Schrödinger Operators -
Nicola Mastronardi
On computing the eigenvectors of a class of structured matrices -
Jeff Ovall
Function, Gradient and Hessian Recovery Using Quadratic Bump Functions -
Hossein Parsian
A Wavelet Solution For Time Independent Schrödinger Equation -
Bernd Rummler
Approximation of the Eigenvalues and of the Eigenfunctions for the Stokes Operator on an open Square -
Stefan Sauter
A refined finite element convergence theory for highly indefinite Helmholtz problems -
Yvette Vanberghen
The use of lower semiseparable matrices to solve generalized eigenvalue problems -
Raf Vandebril
The Lanczos reduction to semiseparable matrices -
Heinrich Voss
Numerical simulation of the electronic structure of quantum dots