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
CH-1015 Lausanne

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

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Administrative data

Publications

Infoscience publications

Teaching & PhD

Teaching

Mathematics

PhD Programs

Doctoral Program in Mathematics

Doctoral Program Digital Humanities

Courses

Analysis I (German)

Study of fundamental concepts of analysis and differential/integral calculus of univariate functions.

Numerical analysis

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

Low-rank approximation techniques

Low-rank approximation techniques have become a key tool in scientific computing to deal with large-scale problems and high-dimensional data. This course covers state-of-the-art algorithms and current research in this area.

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.