Multidimensional phase recovery and interpolative decomposition butterfly factorization

Multidimensional phase recovery and interpolative decomposition butterfly factorization
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多维相位恢复和插值分解蝴蝶分解

DOI:
10.1016/j.jcp.2020.109427
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发表时间:
2019-08
影响因子:
4.1
通讯作者:
Yang Haizhao
Yang Haizhao
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Chen Ze;Zhang Juan;Ho Kenneth L.;Yang Haizhao

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本文主要研究矩阵向量乘法(matvec)g= Kf(K∈ CN × N)的快速计算,它是多维振荡积分变换g(x)=<$K(x,<$)f(<$)d <$$>的离散化,其核函数为K(x,<$)= e2 π i Φ(x,<$),其中Φ(x,是分段光滑相位函数,其中x和λ在R d中,d= 2或3。在只能间接访问相位函数Φ的情况下,提出了一种新的计算Kf的框架,其时间和内存复杂度为O(NlogN(N)).该框架由两个主要步骤组成:1)提出了一个O(Nlog(N))的从间接访问中恢复多维相位函数Φ的算法; 2)设计了一个多维插值分解蝴蝶因子分解(MIDBF),一旦Φ可用,则以O(Nlog(N))的复杂度计算矩阵Kf。数值结果证明了所提出的框架的有效性。
This paper focuses on the fast evaluation of the matrix-vector multiplication (matvec) g= K f for K∈ C N× N, which is the discretization of a multidimensional oscillatory integral transform g (x)=∫ K (x, ξ) f (ξ) d ξ with a kernel function K (x, ξ)= e 2 π i Φ (x, ξ), where Φ (x, ξ) is a piecewise smooth phase function with x and ξ in R d for d= 2 or 3. A new framework is introduced to compute Kf with O (N log⁡(N)) time and memories complexity in the case that only indirect access to the phase function Φ is available. This framework consists of two main steps: 1) an O (N log⁡(N)) algorithm for recovering the multidimensional phase function Φ from indirect access is proposed; 2) a multidimensional interpolative decomposition butterfly factorization (MIDBF) is designed to evaluate the matvec Kf with an O (N log⁡(N)) complexity once Φ is available. Numerical results are provided to demonstrate the effectiveness of the proposed framework.
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