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
中科院分区:
文献类型:
--
作者:
Chen Ze;Zhang Juan;Ho Kenneth L.;Yang Haizhao
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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