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Practical Course on Scientific-Computing (Technical University of Munich)

The lab course gives an application oriented introduction to the following topics:

  • explicit and implicit time stepping methods for ordinary differential equations
  • numerical methods for stationary and instationary partial differential equations
  • solvers for large, sparse systems of linear equations
  • adaptivity and adaptively refined discretisation grids
  • applications from fluid dynamics and heat transfer

Author:

Muhammad Arslan Ansari

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TUM Praktikum Scientific Computing

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