parameters: (self)
return_statement: return cvxtypes.neg()(min_eig).value
docstring: The residual of the constraint.
  
          Returns
          -------
          NumPy.ndarray
docstring_summary: The residual of the constraint.
docstring_tokens: The residual of the constraint .
function: def residual(self):
          """The residual of the constraint.
  
          Returns
          -------
          NumPy.ndarray
          """
          if self.expr.value is None:
              return None
          min_eig = cvxtypes.lambda_min()(self.args[0] + self.args[0].T)/2
          return cvxtypes.neg()(min_eig).value
function_tokens: def residual ( self ) : if self . expr . value is None : return None min_eig = cvxtypes . lambda_min ( ) ( self . args [ 0 ] + self . args [ 0 ] . T ) / 2 return cvxtypes . neg ( ) ( min_eig ) . value