scholarly journals A new predictor–corrector method for solving unconstrained minimization problems

1986 ◽  
Vol 16 (3) ◽  
pp. 343-354
Author(s):  
Nobuko Sagara ◽  
Masao Fukushima
2009 ◽  
Vol 26 (02) ◽  
pp. 199-233 ◽  
Author(s):  
LINGCHEN KONG ◽  
LEVENT TUNÇEL ◽  
NAIHUA XIU

The implicit Lagrangian was first proposed by Mangasarian and Solodov as a smooth merit function for the nonnegative orthant complementarity problem. It has attracted much attention in the past ten years because of its utility in reformulating complementarity problems as unconstrained minimization problems. In this paper, exploiting the Jordan-algebraic structure, we extend it to the vector-valued implicit Lagrangian for symmetric cone complementary problem (SCCP), and show that it is a continuously differentiable complementarity function for SCCP and whose Jacobian is strongly semismooth. As an application, we develop the real-valued implicit Lagrangian and the corresponding smooth merit function for SCCP, and give a necessary and sufficient condition for the stationary point of the merit function to be a solution of SCCP. Finally, we show that this merit function can provide a global error bound for SCCP with the uniform Cartesian P-property.


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