@misc{HasenfelderLehmannRadonsetal., author = {Hasenfelder, Richard and Lehmann, Lutz and Radons, Manuel and Streubel, Tom and Strohm, Christian and Griewank, Andreas}, title = {Computational aspects of the Generalized Trapezoidal Rule}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-68615}, abstract = {In this article we analyze a generalized trapezoidal rule for initial value problems with piecewise smooth right hand side F:IR^n -> IR^n. When applied to such a problem, the classical trapezoidal rule suffers from a loss of accuracy if the solution trajectory intersects a non-differentiability of F. In such a situation the investigated generalized trapezoidal rule achieves a higher convergence order than the classical method. While the asymptotic behavior of the generalized method was investigated in a previous work, in the present article we develop the algorithmic structure for efficient implementation strategies and estimate the actual computational cost of the latter. Moreover, energy preservation of the generalized trapezoidal rule is proved for Hamiltonian systems with piecewise linear right hand side.}, language = {en} } @misc{GriewankHasenfelderRadonsetal., author = {Griewank, Andreas and Hasenfelder, Richard and Radons, Manuel and Lehmann, Lutz and Streubel, Tom}, title = {Integrating Lipschitzian Dynamical Systems using Piecewise Algorithmic Differentiation}, issn = {1438-0064}, doi = {10.1080/10556788.2017.1378653}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-64639}, abstract = {In this article we analyze a generalized trapezoidal rule for initial value problems with piecewise smooth right hand side \(F:R^n \to R^n\) based on a generalization of algorithmic differentiation. When applied to such a problem, the classical trapezoidal rule suffers from a loss of accuracy if the solution trajectory intersects a nondifferentiability of \(F\). The advantage of the proposed generalized trapezoidal rule is threefold: Firstly, we can achieve a higher convergence order than with the classical method. Moreover, the method is energy preserving for piecewise linear Hamiltonian systems. Finally, in analogy to the classical case we derive a third order interpolation polynomial for the numerical trajectory. In the smooth case the generalized rule reduces to the classical one. Hence, it is a proper extension of the classical theory. An error estimator is given and numerical results are presented.}, language = {en} }