Newton method

Newton's method for minimizing a twice differentiable function uses

If ${\nabla }^{2}f⪰mI$ and the Hessian is $M$-Lipschitz near a minimizer $x^{\ast }$, thenThus a sufficiently close initial point has an error exponent that doubles at each iteration.