People Innovation Excellence
 

NUMERICAL METHODS II (2 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: Analyze alternative methods for any particular problem dealing with optimization; Solve ordinary differential equations, Finite Difference (parabolic, elliptics equations) and eigenvalue problems and choose the “best’’ method (or methods) for any particular problem; Solve boundary value problems and Finite element methods for any particular problem.

Topics:

  1. One Dimensional Unconstrained Optimization;
  2. Multidimensional Unconstrained Optimization;
  3. Least Square Regression;
  4. Runge Kutta Methods;
  5. Stiffnes and Multistep Methods;
  6. Boundary Value and Eigenvalue Problems;
  7. Finite Difference : Elleptic Equations;
  8. Finite Difference : Parabolic Equations;
  9. Finite Element Method.

 


Published at : Updated

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