bool cppad_ipopt::cppad_ipopt_nlp::eval_jac_g	(	Index	n,
		const Number *	x,
		bool	new_x,
		Index	m,
		Index	nele_jac,
		Index *	iRow,
		Index *	jCol,
		Number *	values
	)		[virtual]

Evaluate the Jacobian of g(x).

Parameters:

[in]	n	is the dimension of the argument space for g(x); i.e., must be equal n_.
	x	if values is not NULL, x is a vector of size n containing the point at which to evaluate the gradient of g(x).
[in]	new_x	is false if the previous call to any one of the Evaluation Methods used the same value for x.
[in]	m	is the dimension of the range space for g(x); i.e., must be equal to m_.
[in]	nele_jac	is the number of possibly non-zero elements in the Jacobian of g(x); i.e., must be equal to nnz_jac_g_.
	iRow	if values is not NULL, iRow is not defined. if values is NULL, iRow is a vector with size nele_jac. The input value of its elements does not matter. On output, For k = 0 , ... , nele_jac-1, iRow[k] is the base zero row index for the k-th possibly non-zero entry in the Jacobian of g(x).
	jCol	if values is not NULL, jCol is not defined. if values is NULL, jCol is a vector with size nele_jac. The input value of its elements does not matter. On output, For k = 0 , ... , nele_jac-1, jCol[k] is the base zero column index for the k-th possibly non-zero entry in the Jacobian of g(x).
	values	if values is not NULL, values is a vector with size nele_jac. The input value of its elements does not matter. On output, For k = 0 , ... , nele_jac-1, values[k] is the value for the k-th possibly non-zero entry in the Jacobian of g(x).

Returns:

The return value is always true; see Evaluation Methods.

Definition at line 706 of file cppad_ipopt_nlp.cpp.