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                      | 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++
 
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                      | 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
 
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                      | Criteria for evaluation | 
                      Homeworks during term and oral exam
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                      | Methods | 
                      Mathematical basics: blackboard
interactive development and testing of algorithms
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                      | 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.
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                      | Changing subject? | 
                      No | 
                     
                      
                    
                     
                    
                    
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