2022
DOI: 10.1016/j.jappgeo.2022.104637
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A new linear optimized time–space domain spatial implicit and temporal high-order finite-difference scheme for scalar wave modeling

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Cited by 4 publications
(2 citation statements)
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“…To suppress numerical dispersion, it is necessary to obtain higher-precision FD operators. Currently, the main methods include the window function method (Wang et al 2015;Wang et al 2017;Li et al 2021) and the optimization method (Liu et al 2013;Yan et al 2015;He et al 2019;Wang et al 2022). Wang et al (2015) designed a window function based on the Chebyshev auto-convolution named Chebyshev auto-convolution combined window.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…To suppress numerical dispersion, it is necessary to obtain higher-precision FD operators. Currently, the main methods include the window function method (Wang et al 2015;Wang et al 2017;Li et al 2021) and the optimization method (Liu et al 2013;Yan et al 2015;He et al 2019;Wang et al 2022). Wang et al (2015) designed a window function based on the Chebyshev auto-convolution named Chebyshev auto-convolution combined window.…”
Section: Introductionmentioning
confidence: 99%
“…He et al (2019) optimized the explicit FD scheme using the Remez exchange algorithm. Wang et al (2022) proposed two new time-space domain implicit staggered-grid FD schemes (New-TE and Opt-LS schemes). The proposed schemes effectively improve the accuracy and efficiency of elastic wave modelling.…”
Section: Introductionmentioning
confidence: 99%