A new continuation method for complementarity problems with uniform P-functions
Mathematical Programming: Series A and B
Newton's method for B-differentiable equations
Mathematics of Operations Research
Mathematics of Operations Research
Mathematical Programming: Series A and B
Homotopy continuation methods for nonlinear complementarity problems
Mathematics of Operations Research
A nonsmooth version of Newton's method
Mathematical Programming: Series A and B
A non-interior-point continuation method for linear complementarity problems
SIAM Journal on Matrix Analysis and Applications
A continuation method for monotone variational inequalities
Mathematical Programming: Series A and B
A Newton-type method for positive-semidefinite linear complementarity problems
Journal of Optimization Theory and Applications
On the resolution of monotone complementarity problems
Computational Optimization and Applications
On finite termination of an iterative method for linear complementarity problems
Mathematical Programming: Series A and B
Some Noninterior Continuation Methods for LinearComplementarity Problems
SIAM Journal on Matrix Analysis and Applications
Existence and Limiting Behavior of Trajectories Associatedwith P0-equations
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part I
A Smoothing Newton Method for General Nonlinear Complementarity Problems
Computational Optimization and Applications
A Complexity Bound of a Predictor-Corrector Smoothing Method Using CHKS-Functions for Monotone LCP
Computational Optimization and Applications
Quadratic one-step smoothing Newton method for P0-LCP without strict complementarity
Applied Mathematics and Computation
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We design a new continuation method for the solution of nonlinear complementarity problems with uniform P-functions. Similar to interior-point methods, we try to follow the central path inexactly. In contrast to interior-point methods, however, our iterates are allowed to stay outside of the positive orthant. The method is shown to be globally and superlinearly (quadratically) convergent.