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seznam

Výzkumné aktivity oddělení patří do aplikované matematiky. Výzkum je soustředěn do následujících oblastí:

  • optimalizace
  • nehladká analýza
  • diferenciální rovnice
  • variační problémy
  • Bayesovské sítě
  • struktury podmníněné nezávislosti
  • intervalové pravděpodobnosti

Bývalí členové oddělení.

02.01.2023 - 14:55

Detaily

Mgr. Barbora Benešová Ph.D.
Doc. RNDr. Martin Branda Ph.D.
RNDr. Michal Červinka Ph.D.
Prof. László Csirmaz Ph.D.
Dr. Marouan Handa
Ing. Martin Horák Ph.D.
Prof. Radim Jiroušek DrSc.
Prof. RNDr. Michal Kočvara DrSc.
Marie Kolářová
Ing. Václav Kratochvíl Ph.D.
PD Dr. Stefan Krömer
Prof. RNDr. Martin Kružík Ph.D. DSc.
Mgr. Alexej Moskovka
Doc. Ing. Jiří Outrata DrSc.
Mgr. Miroslav Pištěk Ph.D.
Ing. Martin Plajner Ph.D.
Ing. Martin Rod
Ing. Issam Salman
RNDr. Milan Studený DrSc.
Ing. Marek Tyburec Ph.D.
Doc. Ing. Jan Valdman Dr.
Ing. Jiří Vomlel Ph.D.
Období: 2021 - 2024
Cílem projektu je kvantitativní analýza dvou nejběžnějších nástrojů kontroly emisí oxidu uhličitého: uhlíkové daně a obchodu s emisemi (tzv. systém Cap and Trade).
Období: 2021 - 2024
We will propose a mathematically lucid setting for the derivation of reduced models from nonlinear continuum thermomechanics. We will justify linearized models in thermoviscoelasticity and viscoplasticity as limits of the nonlinear deformation theory employing variational convergence.
Období: 2021 - 2025
The aim of the project is to develop analytical tools to support the investigation of the locomotion of soft-bodied animals and robots, with a focus on limbless locomotion. Topics such as stabilization to limit cycles, optimal control and multiscale models will be studied.
Období: 2021 - 2022
We will propose a mathematically lucid setting for the derivation of reduced models from nonlinear continuum thermomechanics. We will justify linearized models in thermoviscoelasticity and viscoplasticity as limits of the nonlinear deformation theory employing variational convergence.
Období: 2019 - 2021
Záměrem projektu je použít metody polyedrální geometrie na řešení matematických problémů s motivací ve statistice a umělé inteligenci. Cíle se týkají několika oblastí: statistického učení grafických modelů struktur podmíněné nezávislosti, teorie pro jejich aplikace, supermodulárních funkcí, schemat pro sdílení tajemství, teorie kooperativních her a intervalových pravděpodobností.
Mgr. Alexej Moskovka
Ing. Martin Rod
Ing. Issam Salman
Přírodovědecká fakulta Jihočeské University v Českých Budějovicích
Přírodovědecká fakulta Jihočeské University v Českých Budějovicích
Matematicko-fyzikální fakulta UK
Fakulta jaderná a fyzikálně-inženýrská ČVUT
Fakulta informatiky a statistiky VŠE
Fakulta informatiky a statistiky VŠE
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