| 引用本文: | 吕巍,隋瑞瑞,冯恩民.改进的牛顿预测–校正格式[J].控制理论与应用,2015,32(12):1620~1626.[点击复制] |
| LV Wei,SUI Rui-rui,FENG En-min.Predictor-corrector improvement of Newton method[J].Control Theory and Technology,2015,32(12):1620~1626.[点击复制] |
|
| 改进的牛顿预测–校正格式 |
| Predictor-corrector improvement of Newton method |
| 摘要点击 4192 全文点击 2014 投稿时间：2015-04-03 修订日期：2015-06-10 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/CTA.2015.50269 |
| 2015,32(12):1620-1626 |
| 中文关键词 牛顿算法 预测–校正格式 非线性方程 迭代方法 |
| 英文关键词 Newton method predictor-corrector rule nonlinear equation iterative methods |
| 基金项目 国家自然科学基金项目(11101262,11171050), 大连理工大学专项基金(DUTTX2011106), 上海市重点学科资助项目(S30104), 上海高校一流学科 (B类)资助. |
|
| 中文摘要 |
| 在数值分析领域中, 牛顿算法由于其形式的简单性及快速的收敛性而被广泛地应用于求解非线性方程问
题. 受一类求解方程的预测–校正技术的启示, 本文针对求解非线性方程单根的问题提出了一种牛顿预测–校正格
式, 并将其推广到多维向量值函数情况. 为此, 首先用图描述了这种新的预测–校正格式并导出了其收敛阶. 这种新
格式每步迭代仅需计算一次函数值和一次导函数值. 然后, 经过测试函数的检验, 并与牛顿算法及其他高阶算法
(1 + p2 阶、3阶、4阶、5阶、6阶)比较, 表明新算法具有较快的收敛性. 最后, 将这种新格式推广到多维向量值函数,
采用泰勒公式证明了其收敛性, 并给出了一个二维算例来验证其收敛的有效性. |
| 英文摘要 |
| In numerical analysis, Newton method is the most commonly used iterative technique for determining a root
of a nonlinear equation for its simplicity and fast rate of convergence. Motivated by a class of predictor-corrector technique
for root-finding, we present a predictor-corrector modification for the standard Newton method in approximating the root of
a univariate nonlinear function, and extend it to the multi-dimensional vector-valued functions. First, the predictor-corrector
rule is described using a figure and its convergence order is analyzed. The modified method only requires evaluating one
function and one first derivative in a step. Then, we use numerical examples to demonstrate the faster convergence achieved
by this modification than the Newton method and other higher-order (1 2 order, 3rd order, 4th order, 5th order and 6th
order) algorithms. Third, the predictor-corrector improvement is extended to multi-dimensional vector valued functions.
The convergence is proved by using Taylor formula, and is illustrated by a two-dimensional example. |
|
|
|
|
|