Mathematical Modeling and Scientific Computing

A workshop in memory of Dr. Nikolai Botkin

19 November 2020 09:00 – 20 November 2020 18:00
Flyer zum Workshop Mathematical Modeling and Scientific Computing im Gedenken an Dr. Nikolai Botkin

Whether mechanics, physics, biology or medicine - creating adequate mathematical models is part of the study of complex natural phenomena. On 19 and 20 November 2020, a virtual workshop focusing on complex processes and systems will take place at the Technische Universität München (TUM).

Workshop: Mathematical Modeling and Scientific Computing

Mathematical models form the basis for the development of numerical methods and algorithms. They enable computer simulations to identify and explain patterns that cannot always be investigated with physical experiments. 

Workshop topics include mathematical and computer models for a wide range of problems in optimization, control theory, thermodynamics, materials science, biology, medicine and aerospace.

Recent achievements in the study of heat transfer problems, simulation of cerebral blood circulation, as well as new results the development of highly efficient computational methods in the framework of the DFG project Robust dynamic programming approach to aircraft control problems with disturbances will be presented and discussed. Further information can be found in the workshop program.

In memory of Dr. Nikolai Botkin

The workshop is dedicated to the late TUM mathematician Dr. Nikolai Botkin (22.03.1956 - 14.09.2019). Botkin made significant contributions:

  • to the creation and mathematical analysis of models
  • to develop numerical methods and algorithms for the optimal control of ordinary and distributed systems
  • on elasticity theory, hydrodynamics, thermodynamics and homogenization theory

Botkin's results from numerous scientific projects have been published in more than 200 works and are well deservedly acknowledged by experts.

Access to the virtual workshop

The workshop "Mathematical Modeling and Scientific Computing" takes place online on the platform BBB. To receive the access data, please contact Prof. Christina Kuttler, Dr. Andrey Kovtanyuk oder Dr. Varvara Turova.