Course: Applied Mathematics for the Life Sciences II (1101-411)

Persons:

• Prof. Dr. Philipp Kügler (verantwortlich)

Type of Course:

lecture with exercise

In-Class Hours Per Week:

6

Contents:

- classification of partial differential equations
- finite difference method and finite element method
- classification of optimization tasks
- ways to solve constant optimization problems
- control and parameter identification tasks

Literature:

M.S. Gockenbach, Partial Differential Equations: Analytical and Numerical Methods, SIAM, Philadelphia, 2010

R.J LeVeque, Finite Difference Methods for Ordinary and Partial Differ-ential Equations, SIAM, 2007

L. Edsberg, Introduction to Computation and Modeling for Differential Equations, Wiley, 2008

Location:

Hohenheim

Module:

• 1101-410 Applied Mathematics for the Life Sciences II (compulsory)

eLearning:

Course in ILIAS