A one-step smoothing Newton method for second-order cone programming
Journal of Computational and Applied Mathematics
Computers & Mathematics with Applications
Computational Optimization and Applications
A non-interior-point smoothing method for variational inequality problem
Journal of Computational and Applied Mathematics
A generalized Newton method for absolute value equations associated with second order cones
Journal of Computational and Applied Mathematics
Computers & Mathematics with Applications
The penalized Fischer-Burmeister SOC complementarity function
Computational Optimization and Applications
A proximal point algorithm for the monotone second-order cone complementarity problem
Computational Optimization and Applications
The SC1 property of the squared norm of the SOC Fischer-Burmeister function
Operations Research Letters
Nonsingularity Conditions for the Fischer-Burmeister System of Nonlinear SDPs
SIAM Journal on Optimization
Nonsingularity of FB system and constraint nondegeneracy in semidefinite programming
Numerical Algorithms
An application of a merit function for solving convex programming problems
Computers and Industrial Engineering
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We show that the Fischer-Burmeister complementarity functions, associated to the semidefinite cone (SDC) and the second order cone (SOC), respectively, are strongly semismooth everywhere. Interestingly enough, the proof relys on a relationship between the singular value decomposition of a nonsymmetric matrix and the spectral decomposition of a symmetric matrix.