$C_0$-半群近似中的残差Krylov子空间方法的自动平滑性检测
Automatic smoothness detection of the resolvent Krylov subspace method for the approximation of $C_0$-semigroups
AI总结:
本文研究了残差Krylov子空间方法在$C_0$-半群近似中的自动平滑性检测问题,提出该方法在向量更光滑时收敛速度自动加快,无需用户了解理论,也不需修改方法以适应可能未知的向量平滑性,通过数值实验验证了这一结论。
摘要:
残差Krylov子空间方法用于近似算子函数$f(A)$与向量$v$的乘积。对于半群及相关算子函数,该方法被证明具有有利性质:当向量$v$更光滑时,收敛速度自动加快。方法的用户无需了解所呈现的理论,且为了适应可能未知的$v$的平滑性,无需对方法进行修改。这些发现通过数值实验进行了说明。
英文摘要:
The resolvent Krylov subspace method builds approximations to operator functions $f(A)$ times a vector $v$. For the semigroup and related operator functions, this method is proved to possess the favorable property that the convergence is automatically faster when the vector $v$ is smoother. The user of the method does not need to know the presented theory and alterations of the method are not necessary in order to adapt to the (possibly unknown) smoothness of $v$. The findings are illustrated by numerical experiments.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。