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 A
                  short course
               January
                  24 and 25, 2019 Aula
                    Dal PassoDipartimento di Matematica Università
                  di Roma "Tor Vergata" Schedule:
                   
 Abstract Over the
                      last fifty years, computer simulations have
                      dramatically increased their impact on research,
                      design and production, and are now an
                      indispensable tool for development and innovation
                      in science and technology. Partial Differential
                      Equations (PDEs) offer a broad and flexible
                      framework for modelling and analysing a number of
                      phenomena arising in fields as diverse as physics,
                      engineering, biology, and medicine. Not
                      surprisingly, research on methods to simulate PDEs
                      have a central role in modern science. In
                      reality, the simulation of PDEs is a brick within
                      a workflow where, at the beginning, the
                      geometrical entities are created, described and
                      manipulated with a geometry processor, often
                      through Computer-Aided Design systems (CAD), and
                      then used as input in Computer-Aided Engineering
                      systems (CAE) where they are handled and processed
                      for the simulation. The representation of
                      geometric entities has its roots in geometric
                      modelling, and often the requirements of shape
                      design are different from those of simulation,
                      which is based on numerical methods for PDEs. The
                      simulation of PDEs on CAD geometries (which are
                      mainly represented through their boundaries) calls
                      then for (re-)meshing and re-interpolation
                      techniques that are computationally expensive and
                      result in non-exact geometries as well as
                      inaccurate solutions. In this
                      course, A. Buffa will give an introduction to the
                      recent scientific efforts devoted to tackle this
                      bottleneck both from the perspective of geometric
                      modelling and of the numerical analysis of PDEs.
                      From volumetric modelling to the framework of
                      isogeometric analysis, within a mathematical
                      perspective, she will provide an overview of the
                      state of the art and of the many questions that
                      are still open.  Annalisa
                      Buffa is professor of Numerical Modelling and
                    Simulation at the Mathematical  Institute
                      of Computational Science and Engineering of the École
                    Polythechnique Fédé- rale de Lausanne; she is the
                    PI of the ERC Advanced Grant 2016-2021 CHANGE "New CHallenges for (adaptive)
                    PDE solvers: the interplay of ANalysis and
                    GEometry".  Among the many
                invitations and awards, we recall the invitation to the ICM 2014
                  as speaker in the Numerical Analysis and Scientific
                  Computing section, the ICIAM Collatz Prize 2015, and the
                election as a corresponding member of the Accademia dei
                LIncei in 2018. She is the
                Jacques-Louis Lions Lecturer 2018. Wikipedia
                      entry This course is part of the MIUR Excellence Department Project awarded to the Department of Mathematics, University of Rome Tor Vergata, CUP E83C18000100006 | 
 
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