Inhalt

[ 481MAPHWIRK22 ] KV Scientific Computing

Versionsauswahl
Es ist eine neuere Version 2023W dieser LV im Curriculum Master's programme Mechanical Engineering 2023W vorhanden.
Workload Education level Study areas Responsible person Hours per week Coordinating university
6 ECTS M - Master's programme Mechatronics Astrid Pechstein 4 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Mechatronics 2022W
Objectives
  • Acquiring knowledge about the mathematical foundations of scientific computing,
  • self-reliant transformation of acquired basic knowledge to applications,
  • recognizing fields of applications of the presented algorithms,
  • acquiring the ability to transform/adapt the algorithms to applications,
  • acquiring the ability to implement these algorithms in C++
Subject
  • basics of scientific computing in C++ (object-oriented programming, pointers/references, memory management, templates)
  • solution of linear systems of equations, stability
  • sparse systems, iterative methods
  • computation of eigenvalues or singular values
  • nonlinear systems of equations
  • interpolation
  • numeric integration
Criteria for evaluation Homeworks during term and oral exam
Methods Mathematical basics: blackboard interactive development and testing of algorithms
Language German
Study material W.H. Press, S.A. Teukolsky, W.T. Vetterling and B.P. Flannery: Numerical Recipies, 3rd edition, Cambridge University Press, 2007.
Changing subject? No
On-site course
Maximum number of participants -
Assignment procedure Assignment according to sequence