88262 - Numerical Simulation

Academic Year 2018/2019

Learning outcomes

A successful learner from this course will have obtained the elements to simulate processes of the offshore energy generation systems, based on the knowledge of numerical simulation methods.

Course contents

  • Key idea: accuracy, precision, truncation and round-off errors, condition numbers, operation counts, convergence and stability.
  • Solution to nonlinear equations.
  • Numerical Linear Algebra: direct methods for linear systems.

  • Linear least squares.
  • Polynomial interpolation.
  • Numerical differentiation.
  • Classification of PDEs: elliptic, parabolic and hyperbolic equations.
  • Finite difference methods. Stability, consistency, and convergence theory.

Readings/Bibliography

  • U. Ascher, C. Greif, A first course in Numerical Methods, SIAM, 2011.
  • A. Quarteroni, R. Sacco and F. Saleri, "Numerical Mathematics, Second Ed.", Springer, 2007.
  • M.T. Heath, "Scientific Computing. An introductory survey", McGraw-Hill, 1997. 

Teaching methods

The course involves theoretical lectures and practical work based on computational tools such as Matlab.

Assessment methods

Assessment is based on a written exam including exercises with Matlab and written questions.

Teaching tools

Lectures, lecture slides, exercises, laboratory activities with Matlab and possibly other softwares.

Office hours

See the website of Carolina Vittoria Beccari