Daniel Kressner

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Full Professor

daniel.kressner@epfl.ch +41 21 693 25 46 http://anchp.epfl.ch

Homepage
anchp.epfl.ch

EPFL SB MATH ANCHP
MA B2 514 (Bâtiment MA)
Station 8
1015 Lausanne

+41 21 693 25 46
+41 21 693 25 79
Office:  MA B2 514
EPFL > SB > MATH > ANCHP

Web site:  Web site:  https://anchp.epfl.ch/

+41 21 693 25 46
EPFL > SB > SB-SMA > SMA-ENS

Web site:  Web site:  https://sma.epfl.ch/

+41 21 693 25 46
EPFL > VPA > VPA-FAC > CEAE

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Administrative data

Publications

Infoscience publications

Teaching & PhD

Teaching

Mathematics

PhD Students

Guido Margherita, He Haoze, Lam Hei Yin, Matti Fabio, Oehme Peter Bernd, Shao Nian,

Past EPFL PhD Students

Cortinovis Alice , Effenberger Peter Cedric , Persson Ulf David , Santos Paredes Quartin de Macedo Francisco , Shao Meiyue , Sirkovic Petar , Statti Francesco , Steinlechner Michael Maximilian , Strössner Christoph Max , Susnjara Ana , Séguin Axel Elie Joseph ,

Courses

Advanced numerical analysis I

Construction and analysis of numerical methods for the solution of problems from linear algebra, integration, approximation, and differentiation.

Numerical analysis

This course presents numerical methods for the solution of mathematical problems such as systems of linear and non-linear equations, functions approximation, integration and differentiation, and differential equations.

Randomized matrix computations

This course is concerned with randomized algorithms that have been developed during the last decade to solve large-scale linear algebra problems from, for example, scientific computing and statistical learning. Emphasis will be placed on both, the development and analysis of such algorithms.

Computational linear algebra

This course provides an overview of advanced techniques for solving large-scale linear algebra problems, as they typically arise in applications. A central goal of this course is to give the ability to choose a suitable solver for a given application.