check_parameters: Check input parameters on quasi-Newton
In brunasqz/NonlinearOpMethods: Nonlinear Optimization Methods

The quasiNewton algorithm can be run by providing different types of input, but they all need to be accomodated to a common format. This is performed in this function

1	check_parameters(obj.list, x.list, ...)

`obj.list`	Either a function or a list with the following names f: the objective function df: its gradient (optional; where the numerical version is used by default)
`x.list`	Either a vector with initial solution or a list with the following names x: a vector with its value in the search space fx: a scalar with its objective value dfx: a vector with its gradient value
`...`	Optional parameters passed to the `gradient` function

Returns two lists:
obj.list: a list with names f and df with the objective function and its gradient, respectively
x.list: a list with the names x, fx and dfx with the initial point properly evaluated.