Seminars

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• Seminars
• 510 - Linear Algebra and Optimization Seminar

510 - Linear Algebra and Optimization Seminar

Our goal is to bring together scientists from various theoretical and application fields to join forces in solving complex scientific computing problems. It covers recent developments in numerical linear algebra and numerical optimization. The speakers are frequently guests from other institutions and the local industry.

All people interested are welcome to attend individual seminars. Some of the talks are intended for a general audience. Many are at the level of advanced research (numerical linear algebra; numerical methods for ODEs, PDEs, optimization, etc.).

You can manage your subscription to the seminar mailing list using Mailman

Autumn 2009 - 2010
Date	Speaker	Institution	Title	Slides	Notes
09/23/09	Maryam Fazel	University of Washington	Finding Low-rank Matrices by Convex Optimization
09/30/09	David Gleich	Stanford University	Algorithms for Large, Sparse Network Alignment Problems
10/07/09	Elizabeth Wong	UC San Diego	A regularized method for general quadratic programming.
10/09/09	Yuan Ya-xiang	Chinese Academy of Sciences, Beijing	A Parallel Decomposition Algorithm for Training Multiclass Kernel-based Vector Machines.		Friday Bldg. Terman Rm. 453
10/21/09	Marielba Rojas	Technical University of Denmark (DTU)	Accelerating the LSTRS Algorithm.
10/21/09	Martin van Gijzen	Delft University of Technology, The Netherlands	IDR(s): a family of simple and fast methods for solving large nonsymmetric linear systems
10/23/09	Martin Stoll	Oxford University	Preconditioning for PDE-constrained optimization		Friday Bldg. Terman Rm. 453
10/30/09	Henry Wolkowicz	University of Waterloo	Explicit Sensor Network Localization using Semidefinite Programming and Clique Reductions		Friday Bldg. Terman Rm. 453
11/04/09	Chris Paige	McGill University	Vector orthogonalization algorithms and orthogonal transformation algorithms
11/11/09	Dr. Ken Clarkson	IBM Almaden Research	Numerical Linear Algebra in the Streaming Model.
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