Course contents *
Basic concepts and ideas: algorithm, local linearization, iteration, extrapolation, discretization, convergence, stability, condition.
Reliability assessment: parameter sensitivity, experimental perturbations, precision.
Numerical methods for: linear systems of equations, nonlinear equations and systems of equations, interpolation, model-fitting with the method of least squares, optimization, quadrature, differential equations.
The application of mathematical software in the solution of scientific and engineering problems, numerical experimentation, and the presentation of final results.
The course contents and teaching may vary somewhat between the programs; more detailed information will be given at http://www.nada.kth.se/kurser/kth/2D1240.