unittest/python/crocoddyl/differential_action.py
def calcDiff(self, data, x, u=None, recalc=True):
        """ Compute the derivatives of the dynamics and cost functions.

        It computes the partial derivatives of the dynamical system and the cost
        function. If recalc == True, it first updates the state evolution and
        cost value. This function builds a quadratic approximation of the
        time-continuous action model (i.e. dynamical system and cost function).
        :param model: differential action model
        :param data: differential action data
        :param x: state vector
        :param u: control input
        :param recalc: If true, it updates the state evolution and the cost
        value.
        """
        raise NotImplementedError("Not implemented yet.")
 Compute the derivatives of the dynamics and cost functions.

        It computes the partial derivatives of the dynamical system and the cost
        function. If recalc == True, it first updates the state evolution and
        cost value. This function builds a quadratic approximation of the
        time-continuous action model (i.e. dynamical system and cost function).
        :param model: differential action model
        :param data: differential action data
        :param x: state vector
        :param u: control input
        :param recalc: If true, it updates the state evolution and the cost
        value.
        
Compute the derivatives of the dynamics and cost functions.
It computes the partial derivatives of the dynamical system and the cost
function. If recalc == True, it first updates the state evolution and
cost value. This function builds a quadratic approximation of the
time-continuous action model .
Compute the derivatives of the dynamics and cost functions . It computes the partial derivatives of the dynamical system and the cost function . If recalc == True it first updates the state evolution and cost value . This function builds a quadratic approximation of the time - continuous action model .
def calcDiff(self, data, x, u=None, recalc=True):
        raise NotImplementedError("Not implemented yet.")
def calcDiff ( self , data , x , u = None , recalc = True ) : raise NotImplementedError ( "Not implemented yet." )
Compute the derivatives of the dynamics and cost functions.
Compute the derivatives of the dynamics and cost functions .
""" Compute the derivatives of the dynamics and cost functions.

        It computes the partial derivatives of the dynamical system and the cost
        function. If recalc == True, it first updates the state evolution and
        cost value. This function builds a quadratic approximation of the
        time-continuous action model (i.e. dynamical system and cost function).
        :param model: differential action model
        :param data: differential action data
        :param x: state vector
        :param u: control input
        :param recalc: If true, it updates the state evolution and the cost
        value.
        """
self
data
differential action data
differential action data
x
None
u
None
recalc
If true, it updates the state evolution and the cost
value.
If true it updates the state evolution and the cost value .
model
differential action model
differential action model