AIME@CZ - Czech workshop on applied mathematics in engineering - Part I
Program an abstracts: http://homepages.laas.fr/henrion/aime@cz16/
The workshop, organized by Didier Henrion and Tomas Pajdla aims at reporting
recent achievements in applied mathematics in engineering on the Czech scene,
this time with a specific focus on the one hand on numerical methods, convex
optimization and optimal control, and on the other hand on the interplay
between real algebraic geometry and computer vision. It is a follow-up of a
series of
previous similar workshops that took place in Prague in 2010, 2011, 2012, 2014
and 2015.
The workshop is organized within the scope of a French-Czech project funded by
CNRS, also involving Roxana Hess, Martin Kružík, Pierre Maréchal, Jean
Bernard Lasserre and Tillmann Weisser.
Quick program review (see http://homepages.laas.fr/henrion/aime@cz16/ for
more)
Tuesday, October 11, 2016
14:00-15:00 - Lieven Vandenberghe - Semidefinite programming methods for
continuous sparse optimization
15:30-16:30 - Michal Kočvara - Decomposition of Matrix Inequalities with
Application in Topology Optimization of Mechanical Structures
Wednesday, October 12, 2016
10:00-11:00 - Jan Zeman - Fourier spectral methods in image-based
homogenization of composites with complex microstructure
13:00-14:30 - Habilitation defense of Zdeněk Hurák - Inertial stabilization
of aerial camera platforms - in room T2:D3-209 of the Dejvice Campus of the
Czech Techical University in Prague
15:00-16:00 - Kristian Hengster-Movrić - Generalized Output Synchronization of
Heterogeneous Linear Multi-agent Systems
16:30-17:30 - Paul McGahan - Embedded Applications of Model Based Control and
Real Time Optimization
17:30-18:30 - Tillmann Weisser - Sparse Hierarchies for Large Scale Polynomial
Optimization
20:00 - evening concert, see (http://homepages.laas.fr/henrion/aime@cz16/)
Thursday, October 13, 2016
10:00-11:00 - Pierre Maréchal - Targeted solutions to linear ill-posed
problems: a generalization of mollification
11:30-12:30 - Anne Vanhems - Solving inverse problems in econometrics using
mollification