Solution of monotone complementarity problems with locally Lipschitzian functions

Authors:
Andreas Fischer
Affiliations:
-
Venue:
Mathematical Programming: Series A and B - Special issue on computational nonsmooth optimization
Year:
1997

Citing 0
Cited 57

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Modified proximal-point method for nonlinear complementarity problems

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The convergence of a one-step smoothing Newton method for P0-NCP based on a new smoothing NCP-function

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A family of NCP functions and a descent method for the nonlinear complementarity problem

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Projected filter trust region methods for a semismooth least squares formulation of mixed complementarity problems

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A modified inexact operator splitting method for monotone variational inequalities

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A regularization semismooth Newton method based on the generalized Fischer-Burmeister function for P0-NCPs

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A smoothing-type algorithm for solving system of inequalities

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SC1 optimization reformulations of the generalized Nash equilibrium problem

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A neural network based on the generalized Fischer-Burmeister function for nonlinear complementarity problems

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The penalized Fischer-Burmeister SOC complementarity function

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Generalized Newton-iterative method for semismooth equations

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A nonmonotone derivative-free algorithm for nonlinear complementarity problems based on the new generalized penalized Fischer---Burmeister merit function

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A proximal point algorithm for the monotone second-order cone complementarity problem

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Calibration of estimator-weights via semismooth Newton method

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Nonsingularity Conditions for the Fischer-Burmeister System of Nonlinear SDPs

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A superlinearly convergent R-regularized Newton scheme for variational models with concave sparsity-promoting priors

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hp-adaptive IPDG/TDG-FEM for parabolic obstacle problems

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Abstract