Higher Analysis and Numerics#

Course participants#

The ZHAW is one of the leading universities of applied sciences (Fachhochschule) in Switzerland. It offers teaching, research, continuing education and other services that are both practice-oriented and science-based.

The participants of the course are students of the School of Engineering and typically study

The students have the basic mathematical knowledge in linear algebra, analysis and numerics with a focus on application. The course is intended as preparation for a Master’s degree course (university, university of applied sciences) or as a specialization for students interested in mathematics.


Organization of the course#

In addition to an introduction to functional analysis and modeling with partial differential equations (PDE), numerical methods for solving PDEs are developed. Accompanying applications from engineering practice are presented.

_images/HANAAufbau.png

Fig. 1 Organization of the course#


Content of the course#

Analysis
  • Introduction to functional analysis

    • Basic concepts

    • Function spaces

    • Calculus of variations

      • Differentiability in function spaces

      • Weak solutions

  • Introduction to partial differential equations

    • What is a partial differential equation?

    • Linear partial differential equations

    • Classification PDE 2nd order

    • Modeling

      • Stationary diffusion processes

      • Transient diffusion processes

      • Hyperbolic equation

Numerics
  • Finite element method

    • Introduction in one dimension

    • Finite element procedure

    • Nodal finite elements (2d, 3d)

    • Finite elements of higher order

  • Linear equation solver

    • Matrix structure examples

    • Direct equation solvers

    • Iterative equation solvers

Practical applications (projects)
  • Stationary temperature field

  • Electrostatic field

  • Magnetostatic field (2d)

  • Mechanical field

  • Flow field

  • Transient temperature field

  • Acoustic field


Software#

The program includes the implementation of numerical methods on the computer. In particular, students also learn about modern digital techniques for product optimization.