Abstract
Based on a formula of Tseng, we show that the squared norm of the matrix-valued Fischer-Burmeister function has a Lipschitz continuous gradient.
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Benson, S.J., Munson, T.S.: Flexible complementarity solvers for large-scale applications. Preprint, May 30, 2005, Argonne National Lab, IL USA, to appear in Optimization Methods and Software
Chen, J.-S., Tseng, P.: An unconstrained smooth minimization reformulation of the second-order cone complementarity problem. Math. Prog. 104, 293–327 (2005)
Sun, D., Sun, J.: Strong semismoothness of the fischer-burmeister SDC and SOC complementarity functions. Math. Prog. 103, 575–582 (2005)
Sun, J., Sun, D., Qi, L.: A squared smoothing newton method for nonsmooth matrix equations and its applications in semidefinite optimization problems. SIAM J. Optimiz. 14, 783–806 (2004)
Tseng, P.: Merit functions for semi-definite complementarity problems. Math. Prog. 83, 159–185 (1998)
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These authors' research was partially supported by Grants R314-000-057/042-112 of the National University of Singapore.
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Sim, CK., Sun, J. & Ralph, D. A note on the Lipschitz continuity of the gradient of the squared norm of the matrix-valued Fischer-Burmeister function. Math. Program. 107, 547–553 (2006). https://doi.org/10.1007/s10107-005-0697-x
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DOI: https://doi.org/10.1007/s10107-005-0697-x