Error analysis of a randomized numerical method
Numerische Mathematik
A quasi-randomized Runge-Kutta method
Mathematics of Computation
Quasi-randomized numerical methods for systems with coefficients of bounded variation
Mathematics and Computers in Simulation - IMACS sponsored Special issue on the second IMACS seminar on Monte Carlo methods
QMC methods for the solution of delay differential equations
Journal of Computational and Applied Mathematics
Runge-Kutta methods for affinely controlled nonlinear systems
Journal of Computational and Applied Mathematics
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We study a random Euler scheme for the approximation of Caratheodory differential equations and give a precise error analysis. In particular, we show that under weak assumptions, this approximation scheme obtains the same rate of convergence as the classical Monte-Carlo method for integration problems.