首页> 外文期刊>SIAM Journal on Numerical Analysis >NEW EXPONENTIAL VARIABLE TRANSFORM METHODS FOR FUNCTIONS WITH ENDPOINT SINGULARITIES~*
【24h】

NEW EXPONENTIAL VARIABLE TRANSFORM METHODS FOR FUNCTIONS WITH ENDPOINT SINGULARITIES~*

机译:具有端点奇异性的函数的新指数变量变换方法〜*

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The focus of this paper is the approximation of functions which are analytic on a compact interval except at the endpoints. Typical numerical methods for approximating such functions depend upon the use of particular conformal maps from the original interval to either a semi-infinite or an infinite interval, followed by an appropriate approximation procedure on the new region. We first analyze the convergence of these existing methods and show that, in a precisely defined sense, they are suboptimal. Specifically, they exhibit poor resolution properties, by which we mean that many more degrees of freedom are required to resolve oscillatory functions than standard approximation schemes for analytic functions such as Chebyshev interpolation. To remedy this situation, we introduce two new transforms; one for each of the above settings. We provide full convergence results for these new approximations and then demonstrate that, for a particular choice of parameters, these methods lead to substantially better resolution properties. Finally, we show that optimal resolution power can be achieved by an appropriate choice of parameters, provided one forfeits classical convergence. Instead, the resulting method attains a finite, but user-controlled, accuracy specified by the parameter choice.
机译:本文的重点是在端点以外的紧凑区间上解析的函数的逼近。用于逼近此类函数的典型数值方法取决于使用从原始间隔到半无限或无限间隔的特定保形图,然后在新区域上进行适当的逼近过程。我们首先分析这些现有方法的收敛性,并表明在精确定义的意义上,它们不是最优的。具体来说,它们显示出较差的分辨率,这意味着与分析函数(例如,切比雪夫插值)的标准逼近方案相比,解析振荡函数需要更多的自由度。为了纠正这种情况,我们引入了两个新的转换:每个上述设置一个。我们为这些新的近似值提供了完全收敛的结果,然后证明了,对于特定的参数选择,这些方法可以带来更好的分辨率特性。最后,我们证明了通过适当选择参数可以实现最佳分辨率,前提是经典收敛。取而代之的是,所得方法将达到由参数选择指定的有限但由用户控制的精度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号