This release enables the use of Eigen::IndexedView when using gradient, jacobian, and hessian functions. For example, assume you want to compute the Jacobian of a function f with respect to some selected variables in x given by x(indices), where indices is a container of int-like numbers. This can be done as follows:
auto J = jacobian(f, wrt(x(indices)), at(x));Matrix J will have as many columns as there are entries in indices, and not in x.