Bayesian approximation of solutions to linear ordinary differential equations.

摘要

An approach to numerically solving linear ordinary differential equations, based on statistical Bayesian prediction, is described. Preliminary results on the details of choice of correlation parameters and experimental design are given, using first- and second-order example problems. 6 refs., 7 figs.