Advanced Scientific Computing

Advanced Scientific Computing II (Master second year - 4-th semester)

Objectives

Get an overview of advanced numerical methods for partial differential equations
  • be able to implement and handle numerical methods in C++
  • be able to verify numerical methods for partial differential equations based on theoretical results

Program summary

  • General introduction and introduction to Feel++ (http://www.feelpp.org)
  • Meshing: 
    • generation, adaptation
  • Large sparse systems:
    • Linear: direct and iterative methods
    • non-linear: fixed point, Newton, aitken
  • Galerkin methods:
    • high-order approximations,
    • mixed problems (saddle point formulation, Stokes, Darcy)
    • least squares approximation 
  • Advanced models:
    • Navier-Stokes
  • Use of different software tools: Gmsh, Feel + +, PETSc, Paraview, Forge.imag.fr
Activity
Hours%
Course (CM)1830
Practical sessions1220
Estimated personal work3050
TOTAL60100

Ċ
Christophe Prud'homme,
Apr 2, 2012, 1:29 AM
Ċ
Christophe Prud'homme,
Apr 2, 2012, 1:29 AM
Ċ
Christophe Prud'homme,
Apr 2, 2012, 1:25 AM
Ċ
Christophe Prud'homme,
Apr 2, 2012, 1:28 AM
Ċ
Christophe Prud'homme,
Apr 2, 2012, 1:26 AM
Ċ
Christophe Prud'homme,
Apr 2, 2012, 1:30 AM
Ċ
Christophe Prud'homme,
Apr 2, 2012, 1:30 AM
Comments