Practicum in Applied Mathematics

Basic Information

M137 (2+2+1) - 7 ECTS credits

Course objectives are to introduce students to modelling, solving, and interpreting mathematical problems that occur in applications, to analyse known numerical methods and to know how to choose a suitable method for a given problem, to adjust it to the structure of the problem and to interpret obtained results in terms of the initial problem.

You can access the course content at the following link: PDF

Teachers

 

Basic literature

  1. D. Bertsimas, J. N. Tsitsiklis, Introduction to Linear Optimization, Athena Scientific, 1997.
  2. R. Scitovski, N. Truhar, Z. Tomljanović, Metode optimizacije, Sveučilište Josipa Jurja Strossmayera u Osijeku, Odjel za matematiku, Osijek, 2014.
  3. Z. Chen, Finite Element Methods and Their Applications, Springer, Berlin, 2005.
  4. A. Quateroni, A. Valli, Numerical Approximation of Partial Differential Equations, Springer Series in Computational Mathematics Vol. 23, Springer Verlag,1994.

Additional literature

  1. G. Sierksma, Linear and Integer Programming, Marcel Dekker, Inc., Nemhauser, 1999.
  2. C. T. Kelley, Iterative methods for optimization, SIAM, Philadelphia, 1999.
  3. L. C. Evans, Partial differential equations, AMS, 1998.
  4. M. Renardy, R. C. Rogers, An introduction to partial differential equations, Springer Verlag, 1993.
  5. P. Knabner, L. Angerman, Numerical methods for elliptic and Parabolic PDEs, Springer Verlag, 2003.
  6. R. LeVeque, Numerical Methods for Conservation Laws, Lecture Notes in Mathematics, Birkhäuser, Basel, 1992.

 

Teaching materials

The materials are available on the internal Teams channel of the course, through which all internal communication takes place. Students are required to register on the course’s Teams channel. The channel code for joining the course can be found in the schedule.