On the superlinear local convergence of a penalty-free method for nonlinear semidefinite programming
On the superlinear local convergence of a penalty-free method for nonlinear semidefinite programming
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非线性半定规划无罚分法的超线性局部收敛
DOI:
10.1016/j.cam.2016.05.007
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发表时间:
2016-12
影响因子:
2.4
通讯作者:
Zhongwen Chen
中科院分区:
文献类型:
--
作者:
Qi Zhao;Zhongwen Chen
This paper is concerned with a sequentially semidefinite programming (SSDP) algorithm for solving nonlinear semidefinite programming problems (NLSDP), which does not use a penalty function or a filter. This method, inspired by the classic SQP method, calculates a trial step by a quadratic semidefinite programming subproblem at each iteration. The trial step is determined such that either the value of the objective function or the measure of constraint violation is sufficiently reduced. In order to guarantee global convergence, the measure of constraint violation in each iteration is required not to exceed a progressively decreasing limit. We prove the global convergence properties of the algorithm under mild assumptions. We also analyze the local behaviour of the proposed method while using a second order correction strategy to avoid Maratos effect. We prove that, under the strict complementarity and the strong second order sufficient conditions with the sigma term, the rate of local convergence is superlinear. Finally, some numerical results with nonlinear semidefinite programming formulation of control design problem with the data contained in C O M P l e i b are given.
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DOI:
10.1137/070681235
发表时间:
2008-02
期刊:
SIAM J. Optim.
影响因子:
--
作者:
Z. X. Chan;Defeng Sun
通讯作者:
Z. X. Chan;Defeng Sun
影响因子:
1.9
作者:
Y. Kanno;I. Takewaki
通讯作者:
Y. Kanno;I. Takewaki
影响因子:
2.1
作者:
A. Ben-Tal;F. Jarre;M. Kočvara;A. Nemirovski;J. Zowe
通讯作者:
A. Ben-Tal;F. Jarre;M. Kočvara;A. Nemirovski;J. Zowe
影响因子:
2.6
作者:
Waler Gómez;Héctor Remírez
通讯作者:
Waler Gómez;Héctor Remírez
DOI:
10.1287/moor.1060.0195
发表时间:
2006-11
期刊:
Math. Oper. Res.
影响因子:
--
作者:
Defeng Sun
通讯作者:
Defeng Sun