where J(x) is the Jacobian matrix of partial derivatives of F with respect to x. For optimization problems, the same method is used, where F(x) is the gradient of the objective function and J(x) ...

It is shown how Newton's formulation differed from the iterative process of Raphson, and that Simpson was the first to give a general formulation, in terms of fluxional calculus, applicable to ...