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A Fastly Convergent Directly Feasible Directions Method for Nonlinearly Inequality Constrained Optimization
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作者 JIAN Jinbao Math. and Information Science Department, Guangxi University, Nanning530004, China 《Systems Science and Systems Engineering》 CSCD 1997年第1期5-14,共10页
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 ... 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. 展开更多
关键词 Nonlinearly constrained optimization direct search directions feasible directions method global and superlinear convergence.
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