| A Fastly Convergent Directly Feasible Directions Method for Nonlinearly Inequality Constrained Optimization |
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| 作者姓名： | JIAN Jinbao Math. and Information Science |
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| 作者单位： | JIAN Jinbao Math. and Information Science Department，Guangxi University，Nanning530004，China |
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| 摘 要： | ＡＦａｓｔｌｙＣｏｎｖｅｒｇｅｎｔＤｉｒｅｃｔｌｙＦｅａｓｉｂｌｅＤｉｒｅｃｔｉｏｎｓＭｅｔｈｏｄｆｏｒＮｏｎｌｉｎｅａｒｌｙＩｎｅｑｕａｌｉｔｙＣｏｎｓｔｒａｉｎｅｄＯｐｔｉｍｉｚａｔｉｏｎＪＩＡＮＪｉｎｂａｏＭａｔｈ．ａｎｄＩｎｆｏｒｍａｔｉｏ...
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A Fastly Convergent Directly Feasible Directions Method for Nonlinearly Inequality Constrained Optimization * |
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| JIAN Jinbao,Math. and Information Science.A Fastly Convergent Directly Feasible Directions Method for Nonlinearly Inequality Constrained Optimization *[J].Journal of Systems Science and Systems Engineering,1997(1). |
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| Authors: | JIAN Jinbao Math and Information Science |
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| Institution: | JIAN Jinbao Math. and Information Science Department,Guangxi University,Nanning530004,China |
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| Abstract: | In this paper, a new superlinearly convergent algorithm for nonlinearly constrained optimization problems is presented. The search directions are directly computed by a few formulas, and neither quadratic programming nor linear equation need to be sovled. Under mild assumptions, the new algorithm is shown to possess global and superlinear convergence. |
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| Keywords: | Nonlinearly constrained optimization direct search directions feasible directions method global and superlinear convergence |
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