logoClassRank

Curtin University

Areas of Study

Numerical Analysis 502

  • 5898
  • 25.0
Average Rating
Difficulty Level

Finite difference methods for PDEs - derivative approximation, SOR and ADI methods, explicit and implicit methods. Finite element methods for PDEs - variational statements, finite element formulation of elliptic and time-dependent problems, two-dimensional element calculations, solution of sparce systems of linear equations (sparse matrix methods and conjugate gradient method) and finite element applications. -- Course Website



Post an anonymous review of this course

Overall experience
Difficulty Level
POST