A nonsmooth version of Newton's method
Mathematical Programming: Series A and B
Merit functions for semi-definite complementarity problems
Mathematical Programming: Series A and B
Iterative solution of nonlinear equations in several variables
Iterative solution of nonlinear equations in several variables
Smoothing Functions for Second-Order-Cone Complementarity Problems
SIAM Journal on Optimization
Computational Optimization and Applications
Strong Semismoothness of the Fischer-Burmeister SDC and SOC Complementarity Functions
Mathematical Programming: Series A and B
An unconstrained smooth minimization reformulation of the second-order cone complementarity problem
Mathematical Programming: Series A and B
Mathematical Programming: Series A and B
A hybrid iterative solver for robustly capturing coulomb friction in hair dynamics
Proceedings of the 2011 SIGGRAPH Asia Conference
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We show that the gradient mapping of the squared norm of Fischer-Burmeister function is globally Lipschitz continuous and semismooth, which provides a theoretical basis for solving nonlinear second-order cone complementarity problems via the conjugate gradient method and the semismooth Newton's method.