Backward error analysis has proven to be very useful in stability anal-ysis of numerical methods for ordinary dierential equations. However the analysis has so far been undertaken in the Euclidean space or open subsets thereof. In this paper we study dierential equations on manifolds. We prove a backward error analysis result for intrinsic numerical methods. Especially we are interested in Lie-group methods. The author proves elsewhere that if the Lie algebra is nilpotent a global stability analysis can be done in the Lie algebra. In the general case we must work on the nonlinear Lie group. In order to show that there is perturbed dierential equation on the Lie group with a solution that is exponentially close to the numerical integrator af...
Intended for researchers, numerical analysts, and graduate students in various fields of applied mat...
AbstractIn this paper, the backward two-dimensional nonlinear Klein-Gordon equation is solved by usi...
Backward error analysis has become an important tool for understanding the long time behavior of num...
For numerical integrators of ordinary differential equations we compare the theory of asymptotic exp...
Asymptotic expansions and backward analysis for numerical integrators HAIRER, Ernst, LUBICH, Christi...
Despite the fact that Sophus Lie's theory was virtually the only systematic method for solving nonli...
Backward Error Analysis (BEA) has been a crucial tool when analyzing long-time be-havior of numerica...
Today engineering and science researchers routinely confront problems in mathematical modeling invol...
Backward error analysis is a useful tool for the study of numerical approximations to ordinary diffe...
This PhD-thesis contains an introduction and six research papers sorted chronologically, of which th...
AbstractCommencing with a brief survey of Lie-group theory and differential equations evolving on Li...
We relate two notions of local error for integration schemes on Riemannian homogeneous spaces, and s...
In this thesis the stability of the Lie group invariance of classical solutions of large classes of ...
We consider the Fer and the Magnus expansions for the numerical solution of the nonlinear matrix Li...
We dene the Newton iteration for solving the equation f(y) = 0, where f is a map from a Lie group to...
Intended for researchers, numerical analysts, and graduate students in various fields of applied mat...
AbstractIn this paper, the backward two-dimensional nonlinear Klein-Gordon equation is solved by usi...
Backward error analysis has become an important tool for understanding the long time behavior of num...
For numerical integrators of ordinary differential equations we compare the theory of asymptotic exp...
Asymptotic expansions and backward analysis for numerical integrators HAIRER, Ernst, LUBICH, Christi...
Despite the fact that Sophus Lie's theory was virtually the only systematic method for solving nonli...
Backward Error Analysis (BEA) has been a crucial tool when analyzing long-time be-havior of numerica...
Today engineering and science researchers routinely confront problems in mathematical modeling invol...
Backward error analysis is a useful tool for the study of numerical approximations to ordinary diffe...
This PhD-thesis contains an introduction and six research papers sorted chronologically, of which th...
AbstractCommencing with a brief survey of Lie-group theory and differential equations evolving on Li...
We relate two notions of local error for integration schemes on Riemannian homogeneous spaces, and s...
In this thesis the stability of the Lie group invariance of classical solutions of large classes of ...
We consider the Fer and the Magnus expansions for the numerical solution of the nonlinear matrix Li...
We dene the Newton iteration for solving the equation f(y) = 0, where f is a map from a Lie group to...
Intended for researchers, numerical analysts, and graduate students in various fields of applied mat...
AbstractIn this paper, the backward two-dimensional nonlinear Klein-Gordon equation is solved by usi...
Backward error analysis has become an important tool for understanding the long time behavior of num...