Browsing Workshops 2017 by MSC "82"

Now showing items 1-6 of 6

    • 1749 - Classical and Quantum Mechanical Models of Many-Particle Systems 

      [OWR-2017-56] Workshop Report 2017,56 (2017) - (03 Dec - 09 Dec 2017)
      This workshop was dedicated to the presentation of recent results in the field of the mathematical study of kinetic theory and its naturalextensions (statistical physics and fluid mechanics). The main models are the ...

    • 1729 - Material Theories 

      [OWR-2017-33] Workshop Report 2017,33 (2017) - (16 Jul - 22 Jul 2017)
      Material theories is a series of workshops concerned with a broad range of topics related to the mechanics and mathematics of materials. As such, this edition brought together researchers from diverse fields converging ...

    • 1706a - Mini-Workshop: Cluster Expansions: From Combinatorics to Analysis through Probability 

      [OWR-2017-8] Workshop Report 2017,8 (2017) - (05 Feb - 11 Feb 2017)
      The workshop addressed the interplay between theory and applications of cluster expansions. These expansions, historically geared towards the study of systems in statistical mechanics, thermodynamics, and physical chemistry, ...

    • 1750 - Network Models: Structure and Function 

      [OWR-2017-57] Workshop Report 2017,57 (2017) - (10 Dec - 16 Dec 2017)
      The focus of the meeting was on the mathematical analysis of complex networks, both on how networks emerge through microscopic interaction rules as well as on dynamic processes and optimization problems on networks, including ...

    • 1722 - Stochastic Analysis: Geometry of Random Processes 

      [OWR-2017-26] Workshop Report 2017,26 (2017) - (28 May - 03 Jun 2017)
      A common feature shared by many natural objects arising in probability theory is that they tend to be very “rough”, as opposed to the “smooth” objects usually studied in other branches of mathematics. It is however still ...

    • 1746 - Variational Methods for Evolution 

      [OWR-2017-54] Workshop Report 2017,54 (2017) - (12 Nov - 18 Nov 2017)
      Many evolutionary systems, as for example gradient flows or Hamiltonian systems, can be formulated in terms of variational principles or can be approximated using time-incremental minimization. Hence they can be studied ...