Mathematik für Ingenieure II

Inhalte

Calculus of functions of one variable: Sequences of real numbers (definition, limit, convergence and divergence, operations with limits, monotonic sequences, improper limits), series of real numbers (definition, limit, convergence and divergence, limits of functions (definition, operations), continuity of a function (definition, examples), properties of continuous functions (existence of minimizers and maximizers, monotonic function, inverse function), power series (definition and theorem on convergence and divergence, computation of convergence radius), elementary functions (definition and basic properties of polynomials, rational functions, exponential function and natural logarithm, general power function and general logarithm, trigonometric functions and their inverses, hyperbolic functions and their inverses), derivative of a function (definition, product rule, ratio rule, chain rule, differentiation rule for inverse function), applications of differentiation (rule of de l'Hospital, mean value theorem, relation with monotonicity, first and second order optimality conditions for local minimizers and maximizers, Taylor's theorem, Taylor’s series, secant and Newton's method for the determination of a root of a function), integration of functions (definite integral with rules, mean value theorem of integration, indefinite integral, relation between definite and indefinite integral, partial integration, integration by substitution, improper integrals, integration and differentiation of power series). Calculus of functions of several variables: Sets in in the n-dimensional spaces (representation of elementary sets, definition of the interior, closure and boundary of sets), vector-valued mappings, graphical representation of functions of 2 and 3 variables, sequences, limits of functions, continuity of functions, differentiation of functions (partial derivatives, total differential, directional derivative, differentiation of vector-valued functions, chain rule), applications of differentiation (Taylor expansion, Newton's method for the solution of systems of nonlinear equations, first and second order optimality conditions for local minimizers and maximizers, application to least-squares approximation), integration, initial value problems theoretical results, one-step methods, explicit and implicit Runge-Kutta methods).