def qnwlogn(n, mu=None, sig2=None):
 (nodes, weights) = qnwnorm(n, mu, sig2)
 return (np.exp(nodes), weights)

def qnwlogn ( n , mu = None , sig2 = None ) : ( nodes , weights ) = qnwnorm ( n , mu , sig2 ) return ( np . exp ( nodes ) , weights )
computes nodes and weights for multivariate lognormal distribution parameters n : int or array_like a length-d iterable of the number of nodes in each dimension mu : scalar or array_like .