Dissertation

No calendar events were found within the current period.

Upcoming calendar events:

• Energy-conservative finite element methods for nonlinear Schrödinger equations

  26 Nov

  Public defences of doctoral theses

  Applied and Computational Mathematics Numerical Analysis

  Friday 2021-11-26, 10:00

  Location: Kollegiesalen, Brinellvägen 8, Stockholm

  Doctoral student: Johan Wärnegård , Numerisk analys, NA

  2021-11-26T10:00:00.000+01:00 2021-11-26T10:00:00.000+01:00 Energy-conservative finite element methods for nonlinear Schrödinger equations (Public defences of doctoral theses) Kollegiesalen, Brinellvägen 8, Stockholm (KTH, Stockholm, Sweden)Energy-conservative finite element methods for nonlinear Schrödinger equations (Public defences of doctoral theses)

• Analysis and numerical methods for multiscale problems in magnetization dynamics

  10 Dec

  Public defences of doctoral theses

  Applied and Computational Mathematics, Numerical Analysis

  Friday 2021-12-10, 15:00

  Location: Sal F3 och , Lindstedtsvägen 26

  Video link: https://kth-se.zoom.us/webinar/register/WN_Dxv5SD6bQcmnKHXisYPANA

  Doctoral student: Lena Leitenmaier , Numerisk analys, NA

  2021-12-10T15:00:00.000+01:00 2021-12-10T15:00:00.000+01:00 Analysis and numerical methods for multiscale problems in magnetization dynamics (Public defences of doctoral theses) Sal F3 och , Lindstedtsvägen 26 (KTH, Stockholm, Sweden)Analysis and numerical methods for multiscale problems in magnetization dynamics (Public defences of doctoral theses)

• Probabilistic machine learning methods for automated radiation therapy treatment planning

  15 Dec

  Public defences of doctoral theses

  Applied and Computational Mathematics, Mathematical Statistics

  Wednesday 2021-12-15, 14:00

  Location: Sal F3 och , Lindstedtsvägen 26

  Video link: https://kth-se.zoom.us/j/68119542297

  Doctoral student: Tianfang Zhang , Matematisk statistik

  2021-12-15T14:00:00.000+01:00 2021-12-15T14:00:00.000+01:00 Probabilistic machine learning methods for automated radiation therapy treatment planning (Public defences of doctoral theses) Sal F3 och , Lindstedtsvägen 26 (KTH, Stockholm, Sweden)Probabilistic machine learning methods for automated radiation therapy treatment planning (Public defences of doctoral theses)