首页> 外文期刊>British Journal of Mathematics & Computer Science >Numerical Fractional Differentiation: Stability Estimate and Regularization
【24h】

Numerical Fractional Differentiation: Stability Estimate and Regularization

机译:数值分数微分:稳定性估计和正则化

获取原文
       

摘要

It is well known that the problem of fractional differentiation n is an ill-posed problem. So far there exists many approximation methods for solving this problem. In this paper we prove a stability estimate for a problem of fractional differentiation. Based on the obtained stability estimate, we present a Tikhonov regularization method and obtain the error estimate. According to the optimality theory of regularization, the error estimates are order optimal. Numerical experiment shows that the regularization works well.
机译:众所周知,分数微分问题是一个不适定的问题。迄今为止,存在许多解决该问题的近似方法。在本文中,我们证明了分数微分问题的稳定性估计。基于获得的稳定性估计,我们提出了一种Tikhonov正则化方法并获得了误差估计。根据正则化的最优理论,误差估计是阶最优的。数值实验表明,该正则化效果很好。

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