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                      | Detailed information |  
                      | Original study plan | Master's programme Nanoscience and Technology 2020W |  
                      | 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. |  
                      | 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 | Material distributed in class: Lecture notes as pdf
Mathematica Example Notebooks/CDF files
 Literature:
 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 |  
                      | Earlier variants | They also cover the requirements of the curriculum (from - to) TPMPTVOCOP1: VO Computational Physics I (2009W-2016S)
 
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