Vorlesungsinhalt: Linear Regression; Regression Problems; Abstract Formulation; Extreme und stationary Points; Quadratic Problems; Iterative Methods; Rosenbrock Function; Steepest Descent; Linesearch; Backtrack; Optimization Algorithm; Convergence Rates; Gauss-Newton Method; Levenberg-Marquardt