Thesis supervisor: Ágnes Fülöp
Location of studies (in Hungarian): ELTE Informatikai Kar Komputeralgebra Tanszék Abbreviation of location of studies: ELTE
Description of the research topic:
In many fields of science, it is necessary to develop models, high-efficiency algorithms that allow for the accurate evaluation of measurement results and theoretical calculations on a grid. Such interdisciplinary research is carried out in statistical physics flow geometry models to solve the grid theory problems of high energy particle physics.
A large group of nonlinear phenomena includes the chaos, the dynamical systems are described by this quantity applying the concept of entropy or the Ljapunov exponent.
We are looking for the development of numerical solutions, models, methods, discretized on a grid, with suitable extrapolation to obtain the grid-independent limit.
The task of the candidate is to work out models and elaboration of algorithms that allow to describe the nonlinear phenomena, which can be used primarily in statistical physics and / or computing in the field of particle physics.
Recommended language skills (in Hungarian): angol Number of students who can be accepted: 1
Login
