Nonsmooth Newton Methods are iterative algorithms designed to solve nonsmooth equations, where traditional Newton's method fails due to the lack of differentiability. These methods extend Newton's approach by incorporating generalized derivatives, allowing them to handle optimization problems with nonsmooth functions effectively.