Disputation

Kalenderhändelser saknas för aktuell period.

Kommande kalenderhändelser:

• Uncertainty quantification for high frequency waves

  7 dec

  Disputationer

  Tillämpad matematik och beräkningsmatematik - Numerisk analys

  fredag 2018-12-07, 10.00

  Plats: sal K1, Teknikringen 56, KTH, Stockholm

  Respondent: Gabriela Malenová , Matematik

  2018-12-07T10:00:00.000+01:00 2018-12-07T10:00:00.000+01:00 Uncertainty quantification for high frequency waves (Disputationer) sal K1, Teknikringen 56, KTH, Stockholm (KTH, Stockholm, Sweden)Uncertainty quantification for high frequency waves (Disputationer)

• Theresa Stocks: Stochastic dynamic modelling and statistical analysis of infectious disease spread and cancer treatment

  13 dec

  Disputation

  torsdag 2018-12-13, 10.00

  Medverkande: Theresa Stocks, SU

  Plats: Room 14, House 5, Kräftriket, Department of Mathematics, Stockholm University

  Respondent: Theresa Stocks, SU , Mathematics

  2018-12-13T10:00:00.000+01:00 2018-12-13T10:00:00.000+01:00 Theresa Stocks: Stochastic dynamic modelling and statistical analysis of infectious disease spread and cancer treatment (Disputation) Room 14, House 5, Kräftriket, Department of Mathematics, Stockholm University (KTH, Stockholm, Sweden)Theresa Stocks: Stochastic dynamic modelling and statistical analysis of infectious disease spread and cancer treatment (Disputation)

• Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning

  17 jan

  Disputationer

  Tillämpad matematik och beräkningsmatematik - Optimeringslära och systemteori

  torsdag 2019-01-17, 13.00

  Plats: sal F3, KTH, Lindstedtsvägen 26, Stockholm

  Respondent: Axel Ringh , Matematik

  2019-01-17T13:00:00.000+01:00 2019-01-17T13:00:00.000+01:00 Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning (Disputationer) sal F3, KTH, Lindstedtsvägen 26, Stockholm (KTH, Stockholm, Sweden)Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning (Disputationer)