Tensor Numerical Methods for Multi-dimensional PDEs with Applications
calendar_month 28 Sep 2015, 00:00
The numerical treatment of the multi-dimensional problems of scientic computing requires nonstandard numerical methods since the computational complexity of the traditional approaches scales exponentially in the dimension d. Recent tensor numerical approximation provides the efficient rank-structured separable representation of multivariate functions and operators on large n^d-grids, that allow us to reduce and even to avoid the so-called "curse of dimensionality". This enables the solution of d-dimensional PDEs with linear complexity scaling in the dimension, O(dn)

Course leader
Lecturers: Adjunct Prof. DrSci. Boris Khoromskij and Dr. Verena Khoromskij (Max-Planck-Institute for Mathematics in the Sciences, Germany)Coordinator: Dr. Olli Mali (University of Jyvskyl, Finland)

Target group
The course is aimed at graduate and advanced undergraduate students and researchers with basic knowledge of numerical linear algebra and numerical PDEs. The Summer School annually offers courses for advanced master's students, graduate students, and post-docs in the various fields of science and information technology.

Course aim
The most important aims of the Summer School are to develop post-graduates scientific readiness and to offer students the possibility to study in a modern, scientific environment and to create connections to the international science community.

Credits info
3 ECTS Passing: Attendance at lectures, and completing the exercises.Grading: Pass/fail

Fee info
EUR 0: Participating the Summer School is free of charge, but student have to cover the costs of own travel, accommodation and meals at Jyvskyl.

The 25th Jyvskyl Summer School is not able to grant any Summer School students financial support. In order to ensure your participation, we recommend that you take steps to secure your own funding, for example, by turning first to your home institution

University of Jyv%C3%A4skyl%C3%A4
Address: Faculty of Mathematics and Science and Faculty of Information Technology, Jyv%C3%A4skyl%C3%A4 Summer School, Faculty of Mathematics and Science P.O.Box 35 (YK312), FIN-40014 University of Jyv%C3%A4skyl%C3%A4, Finland
Postal code: FIN-40014
City: Jyv%C3%A4skyl%C3%A4
Country: Finland
Website: http://www.jyu.fi/summerschool
E-mail: jss@jyu.fi
Phone: +358505818351