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序列(生物学)
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类型(生物学)
数学分析
数学优化
算法
迭代法
计算机科学
梯度下降
物理
半径
经济
机器学习
气象学
哲学
认识论
金融经济学
生物
量子力学
遗传学
人工神经网络
计算机安全
生态学
作者
Donghui Li,Xiaolin Wang
标识
DOI:10.3934/naco.2011.1.71
摘要
In this paper, we propose a descent derivative-free method for solving symmetric nonlinear equations. The method is an extension of the modified Fletcher-Reeves (MFR) method proposed by Zhang, Zhou and Li [25] to symmetric nonlinear equations. It can be applied to solve large-scale symmetric nonlinear equations due to lower storage requirement. An attractive property of the method is that the directions generated by the method are descent for the residual function. By the use of some backtracking line search technique, the generated sequence of function values is decreasing. Under appropriate conditions, we show that the proposed method is globally convergent. The preliminary numerical results show that the method is practically effective.
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