A homotopy method for nonlinear semidefinite programming
In this paper, for solving the nonlinear semidefinite programming problem, a homotopy is constructed by using the parameterized matrix inequality constraint. Existence of a smooth path determined by the homotopy equation, which starts from almost everywhere and converges to a Karush–Kuhn–Tucker point, is proven under mild conditions. A predictor-corrector algorithm is given for numerically tracing the smooth path. Numerical tests with nonlinear semidefinite programming formulations of several control design problems with the data contained in COMPl <Subscript> e </Subscript> ib are done. Numerical results show that the proposed algorithm is feasible and applicable. Copyright Springer Science+Business Media New York 2013
Year of publication: |
2013
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Authors: | Yang, Li ; Yu, Bo |
Published in: |
Computational Optimization and Applications. - Springer. - Vol. 56.2013, 1, p. 81-96
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Publisher: |
Springer |
Subject: | Nonlinear semidefinite programming | Homotopy method | Predictor-corrector algorithm | Global convergence |
Saved in:
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