Numerical Linear Algebra - Algorithms, Applications, and Training

Delft, The Netherlands
April 10-13, 2012

An NWO-JSPS Joint Seminar



Program

9:30am		Registration
10am		Opening Remarks.
		Martin van Gijzen, Delft University of Technology.
10:15am		Flash Talks: Posters.
10:45am		Break
11am		Look-back GMRES(m) for solving large nonsysmmetric linear systems.
		Shao-Liang Zhang, Nagoya University.
11:30am		New developments in sparse matrix partitioning for parallel computations.
		Rob Bisseling, Utrecht University.
12pm		Lunch
2pm		Parallelization of variable preconditioned Krylov subspace method using multi-GPU.
		Soichiro Ikuno, Tokyo University of Technology.
2:30pm		Modularity graph clustering on the GPU.
		Bas Fagginger Auer, Utrecht University.
3pm		Coffee Break
3:30pm		A variant of IDRstab to remedy the residual gap.
		Kensuke Aihara, Tokyo University of Science.
4pm		IDR as a deflation method.
		Gerard Sleijpen, Utrecht University.
4:30pm		Reception and Poster Session

9:30am		Registration
10am		Random shadow vectors in IDR(s): an explanation of its GMRES-like convergence.
		Peter Sonneveld, Delft University of Technology.
10:45am		Break
11am		IDR(s) for linear equations with multiple right-hand sides.
		Kuniyoshi Abe, Gifu University.
11:30am		Flexible and multi-shift induced dimension reduction algorithms for solving large sparse linear systems.
		Martin van Gijzen, Delft University of Technology.
12pm		Lunch
2pm		A shift strategy for superquadratic convergence of the dqds algorithm for computing.
		Kensuke Aishima, The University of Tokyo.
		Efficient methods for least-norm regularization.
		Marielba Rojas, Delft University of Technology.
3pm		Coffee Break
3:30pm		A proposal of variant of BiCGSafe method based on optimized product of two polynomials.
		Seiji Fujino, Kyushu University.
		Recursively deflated PCG for mechanical problems.
		Cornelis Vuik, Delft University of Technology.
7pm		Conference Dinner

1. A more stable expansion basis for GCR and Orthodir.
   Lee Siaw Chong, Utrecht University.
2. A fast CUDA solver for large sparse matrices for MARIN.
   Martijn de Jong, Delft University of Technology.
3. Towards efficient preconditioned CG method on the GPU for bubbly flow problem.
   Rohit Gupta, Delft University of Technology.
4. Newton-Krylov methods in power flow and contingency analysis.
   Reijer Idema, Delft University of Technology.
5. Computing energy levels of the confined hydrogen atom.
   Karl Kästner, Delft University of Technology.
6. TRUSTμ: Matlab software for large-scale non-negative regularization.
   Kien Hoang Nguyen, Delft University of Technology.
7. Fast algorithms for SSS matrix problems and their application to wind farm control.
   Yue Qiu, Delft University of Technology.
8. On shifted Laplace preconditioner combined with multigrid deflation for Helmholtz equation.
   Abdul Sheikh, Delft University of Technology.
9. Model-reduced gradient-based history matching.
   Sławomir Szklarz, Delft University of Technology.
10. Acceleration of the 2D Helmholtz model HARES.
    Gemma van de Sande, Delft University of Technology.
11. A preconditioner for CG that does not need symmetry.
    Paulien van Slingerland, Delft University of Technology.
12. A full multigrid (FMG) method for a linear complementarity formulation of a normal contact problem.
    Jing Zhao, Delft University of Technology.