The semismooth Newton method is an iterative algorithm designed for solving nonsmooth equations, particularly those that can be characterized by piecewise smooth functions. This method blends the principles of traditional Newton methods with modifications to handle nonsmoothness, making it effective for optimization problems where standard derivatives may not exist. By utilizing a generalized derivative concept known as the Clarke subdifferential, this approach enables convergence even in the presence of non-differentiable points.
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