Mathematical Programming: Series A and B
A new continuation method for complementarity problems with uniform P-functions
Mathematical Programming: Series A and B
Mathematical Programming: Series A and B
A globally convergent Newton method for solving strongly monotone variational inequalities
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
Some Noninterior Continuation Methods for LinearComplementarity Problems
SIAM Journal on Matrix Analysis and Applications
A continuation method for (strongly) monotone variational inequalities
Mathematical Programming: Series A and B
Mathematical Programming: Series A and B
Smooth SQP Methods for Mathematical Programs with Nonlinear Complementarity Constraints
SIAM Journal on Optimization
Journal of Global Optimization
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In this paper we discuss the variational inequality problems VIP(X, F), where F is assumed to be a strongly monotone mapping from {\frac {R}}^{n} to {\frac {R}}^{n}, and the feasible set X = [l, u] has the form of box constraints. Based on the Chen-Harker-Kanzow smoothing functions, first we present an explicit continuation algorithm (ECA) for solving VIP(X, F). The ECA possesses main features as follows: (a) at each iteration, it yields a new iterative point by solving a system of equations in {\frac {R}}^{(n + s)} with a parameter and nonsingular Jacobian matrix, where s = |{j: -∞ lj uj X. Secondly we give an implicit continuation algorithm (ICA) for solving VIP(X,F), the prime character of the ICA is that it solves only one, rather than a series of, system of nonlinear equations to obtain a solution of VIP(X,F). The two proposed algorithms are shown to possess strongly global convergence. Finally, some preliminary numerical results of the two algorithms are reported.