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A feasible descent cone method for linearly constrained minimization problems

✍ Scribed by E. de Klerk; J.A. Snyman


Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
955 KB
Volume
28
Category
Article
ISSN
0898-1221

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πŸ“œ SIMILAR VOLUMES


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A new Feasible Descent Cone (FDC) method for constrained optimization, previously restricted to linear objectives, is here generalized to include non-linear objective functions as well. In the basic and exact algorithm a sequence of descent steps is taken through the interior of the feasible region

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Analogous to the nonlinear complementarity problem and the semi-definite complementarity problem, a popular approach to solving the second-order cone complementarity problem (SOCCP) is to reformulate it as an unconstrained minimization of a certain merit function over R n . In this paper, we present