def multigaussian(x, mean, stddev):
 tmp = ((-0.5) * (((x - mean) / stddev) ** 2))
 return (np.exp(tmp) / (np.sqrt((2.0 * np.pi)) * stddev))

def multigaussian ( x , mean , stddev ) : tmp = ( ( - 0.5 ) * ( ( ( x - mean ) / stddev ) ** 2 ) ) return ( np . exp ( tmp ) / ( np . sqrt ( ( 2.0 * np . pi ) ) * stddev ) )
returns value of uncorrelated gaussians at given scalar point .