下降(航空)
缩小
应用数学
数学
多样性(控制论)
梯度下降
数学优化
功能(生物学)
迭代法
趋同(经济学)
下降方向
局部收敛
计算机科学
统计
人工智能
生物
工程类
进化生物学
航空航天工程
人工神经网络
经济增长
经济
作者
R. Fletcher,M. J. D. Powell
标识
DOI:10.1093/comjnl/6.2.163
摘要
A powerful iterative descent method for finding a local minimum of a function of several variables is described. A number of theorems are proved to show that it always converges and that it converges rapidly. Numerical tests on a variety of functions confirm these theorems. The method has been used to solve a system of one hundred non-linear simultaneous equations.
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