Inhalt
              
                
                  
                    [ TPMPTUECOP1 ]                                         UE                                         Computational Physics I
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                | Es ist eine neuere Version 2025W dieser LV im Curriculum Master's programme Artificial Intelligence 2025W vorhanden. |                  
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                      | Workload | 
                                            Education level | 
                      Study areas | 
                                            Responsible person | 
                                                                  Hours per week | 
                                            Coordinating university | 
                     
                    
                      | 1,5 ECTS | 
                                            
                      M1 - Master's programme 1. year | 
                      Physics | 
                                                                  
                          Stefan Janecek                       | 
                                               
                                            1 hpw | 
                                            Johannes Kepler University Linz | 
                     
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                      | Detailed information | 
                     
                                
                    
                      | Original study plan | 
                      Master's programme Technical Physics 2012W | 
                     
                      
                    
                      | Objectives | 
                      Introduction to numerical Methods in Physics; solving initial value problems for systems of ordinary differential equations (ODEs); solving boundary- and eigenvalue problems for ODEs with finite differences and finite elements; linear algebra: iterative solution of linear systems and eigenvalue problems; introduction to partial differential equations.
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                      | Subject | 
                      - Numerical errors, floating-point numbers
 - Basic numerical analysis: Interpolation, differentiation, finding roots, quadrature (newton-cotes, Gauss quadrature)
 - Solution of initial value problems for systems of ODEs: Euler-, Runge-Kutta-, Predictor-corrector methods, symplectic integrators
 - Three-body problem, introduction to classical chaos
 - Boundary- and Eigenvalue problems
 - Finite difference discretization
 - Finite element discretization
 - Iterative solution of linear systems (Jacobi, Gauss-Seidel, SOR, Conjugate Gradient methods, preconditioning)
 - Iterative solution of eigenvalue problems (Inverse iterations, Rayleigh quotient iterations, subspace iteration method, Lanczos method, generalized eigenvalue problems) 
 - Introduction partial differential equations
 
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                      | Criteria for evaluation | 
                      2 term papers:
- celestial mechanics problem (chaotic motion in the 3-body problem, Lagrange points)
 - finite element simulation (Schrödinger equation of a quantum dot)
 
 The grade for the lecture is based on quality and "scientific soundness" of the papers turned in.
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                      | Language | 
                       English | 
                     
                      
                    
                      | Study material | 
                      - Lecture notes as pdf
 - Paul DeVries, "A first course in computational physics", Wiley 1994
 - Josef Stör, Roland Bulirsch, "Numerische Mathematik 1" and "Numerische Mathematik 2", Springer (also available in English)
 - Gene H. Golub, Charles F. Loan, "Matrix Computations", John Hopkins University Press
 - Z. Bai, J. Demmel, J. Dongarra et al, "Templates for the Solution of Algebraic Eigenvalue Problems", SIAM 2000
 - R. Barrett, M. Berry, T.F. Chan et al, "Templates for the Solution of Linear Systems", SIAM 200g
 
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                      | Changing subject? | 
                      No | 
                     
                      
                    
                     
                    
                    
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                      | On-site course | 
                     
                         
                    
                        | Maximum number of participants | 
                      25 | 
                          
                    
                      | Assignment procedure | 
                      Assignment according to priority | 
                     
                    
                     
                    
                    
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