  It is proposed to use stochastic differential equations with state-dependent
switching rates (SDEwS) for sampling from finite mixture distributions. An
Euler scheme with constant time step for SDEwS is considered. It is shown that
the scheme converges with order one in weak sense and also in the ergodic
limit. Numerical experiments illustrate the use of SDEwS for sampling from
mixture distributions and confirm the theoretical results.
