Performing exact inference on Bayesian networks is known to be #P-hard. Typically approximate inference techniques are used instead to sample from the distribution on query variables given the values e of evidence variables. Classically, a single unbiased sample is obtained from a Bayesian network on n variables with at most m parents per node in time O(nmP (e)−1), depending critically on P (e)...

Multilevel inverters (MLIs) have gained wide attention in industry and academia to provide higher voltage levels with lower harmonics, power losses, cost. This study proposes a new asymmetrical MLI topology reduced component count (RCC). The proposed can be extended three-phase structure both modular cascaded configurations generate the required number of for high-voltage applications. To minim...