parameters: (self, mean=None, cov=1)
return_statement: return 0.5 * logdet
docstring: Compute the differential entropy of the multivariate normal.
  
          Parameters
          ----------
          %(_mvn_doc_default_callparams)s
  
          Returns
          -------
          h : scalar
              Entropy of the multivariate normal distribution
  
          Notes
          -----
          %(_mvn_doc_callparams_note)s
docstring_summary: Compute the differential entropy of the multivariate normal.
docstring_tokens: Compute the differential entropy of the multivariate normal .
function: def entropy(self, mean=None, cov=1):
          """
          Compute the differential entropy of the multivariate normal.
  
          Parameters
          ----------
          %(_mvn_doc_default_callparams)s
  
          Returns
          -------
          h : scalar
              Entropy of the multivariate normal distribution
  
          Notes
          -----
          %(_mvn_doc_callparams_note)s
  
          """
          dim, mean, cov = self._process_parameters(None, mean, cov)
          _, logdet = np.linalg.slogdet(2 * np.pi * np.e * cov)
          return 0.5 * logdet
function_tokens: def entropy ( self , mean = None , cov = 1 ) : dim , mean , cov = self . _process_parameters ( None , mean , cov ) _ , logdet = np . linalg . slogdet ( 2 * np . pi * np . e * cov ) return 0.5 * logdet