showbad.blogg.se - Meshfree methods lectures

Multivariate and high-dimensional approximation theory particularly kernel-based methods and neural networks.

Currently, they are mainly concerned with one of the following topics: I am offering Bachelor and Master theses from the area of applied and numerical analysis.

Grundlagen der Mathematik für Physiker II (4+2).

Numerik der partiellen Differentialgleichung (4+2).

Einführung in die iterativen Methoden (3+2).

Einführung in die höhere Analysis (3+2).

The ParaView Plugin integrates the powerful visualization and post-processing tool ParaView.Future lectures/courses (tentative list) Semester It operates on an abstract intermediate representation for mathematical expressions and includes code generators for PaUnT's weak formulations, enrichments, and general scalar/vector field expressions. GECO (Generic Expression COmpiler) is an optimizing expression compiler.

The GECO C++ Back-End ist the key component of PUMA's user interface. The GECO Python Front-End allows the user to specify mathematical expressions via PUMA's own expression language in a notation that is very close to typical mathematical formulations. On the application level, the user implements the simulation application with the help of this interface, which allows to control all aspects of the method, but do not require the user to be aware of all details of the PUM or its implementation within the computational core of PUMA. PUMA provides a Python interface which provides easy access to the higher level functionality of PaUnT.

The PaUnT module contains the computational core of the framework and provides platform independence, computational efficiency, and the possibility to interact with scientific third party libraries. Using a multi-layered architecture, PUMA hides the internal methodological and implementation complexity from the user.

Coupled Particle and Finite Element Simulations.