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Global convergence of damped Newton’s method for nonsmooth equations via the path search. (English) Zbl 0819.90102
Summary: A natural damping of Newton’s method for nonsmooth equations is presented. This damping, via the path search instead of the traditional line search, enlarges the domain of convergence of Newton’s method and therefore is said to be globally convergent. Convergence behavior is like that of line search dampled Newton’s method for smooth equations, including \(Q\)-quadratic convergence rates under appropriate conditions.
Applications of the path search include damping Robinson-Newton’s method for non-smooth normal equations corresponding to nonlinear complementarity problems and variational inequalities, hence damping both Wilson’s method (sequential quadratic programming) for nonlinear programming and Josephy-Newton’s method for generalized equations.
Computational examples from nonlinear programming are given.

MSC:
90C30 Nonlinear programming
49M15 Newton-type methods
90C33 Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming)
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