科研之友
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摘要
We introduce a new efficient nonlinear conjugate gradient method for unconstrained optimization, based on minimizing a penalty function. Our penalty function combines the good properties of the linear conjugate gradient method using some penalty parameters. We show that the new method is a member of Dai-Liao family and, more importantly, propose an efficient Dai-Liao parameter by closely analyzing the penalty function. Numerical experiments show that the proposed parameter is promising.
- 出版日期2016-5
