2014
DOI: 10.1007/s11430-013-4805-0
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A new kind of optimal second-order symplectic scheme for seismic wave simulations

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Cited by 19 publications
(4 citation statements)
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“…In the past decades, researchers have studied a series of forward modeling methods, including finite difference methods (Kelly et al, 1976; Day, 1982; Igel et al, 1995; Yang DH et al, 2003, 2004, 2006; Liu SL et al, 2015, Ma X et al, 2018), finite element methods (Lysmer and Drake, 1972; Marfurt, 1984; Liu SL et al, 2014; He XJ et al, 2020), a pseudo‐spectral method (Kosloff and Baysal, 1982), and a spectral element method (Kosloff and Baysal, 1982; Seriani and Priolo, 1994; Komatitsch et al, 2005). These methods are designed to solve different types of questions.…”
Section: Introductionmentioning
confidence: 99%
“…In the past decades, researchers have studied a series of forward modeling methods, including finite difference methods (Kelly et al, 1976; Day, 1982; Igel et al, 1995; Yang DH et al, 2003, 2004, 2006; Liu SL et al, 2015, Ma X et al, 2018), finite element methods (Lysmer and Drake, 1972; Marfurt, 1984; Liu SL et al, 2014; He XJ et al, 2020), a pseudo‐spectral method (Kosloff and Baysal, 1982), and a spectral element method (Kosloff and Baysal, 1982; Seriani and Priolo, 1994; Komatitsch et al, 2005). These methods are designed to solve different types of questions.…”
Section: Introductionmentioning
confidence: 99%
“…However, the nonuniform spacing of the interpolation points for algebraic polynomials imposes a tight constraint on the time‐step compared with a uniform spacing grid (Carcione and Wang PJ, ). As a consequence, the Courant–Friedrichs–Lewy (CFL) numbers decrease exponentially with the increasing degree of Lagrange polynomials (Liu SL et al, ; De Basabe and Sen, , ; Liu SL et al, ) (Figure ). This means that the SEM requires many more time steps for a given problem compared with the FD method (uniform grid).…”
Section: Introductionmentioning
confidence: 99%
“…Despite these advantages, the method is subject to serious numerical dispersion errors that limit its application in problems involving large time spans and narrow pulses for insufficient sampling. Apart from traditional methods for reducing numerical dispersion such as increasing sampling rate and using higher order degrees of accuracy, several other approaches that are able to produce small dispersive errors have also been proposed (Holberg, 1987;Lele, 1992;Tam and Webb, 1993;Yang et al, 2002;Yin et al 2006;Chu and Stoffa, 2012;Li et al, 2012;Liu, 2013;Yao, 2013a, 2013b;Liu et al, 2014a).…”
Section: Introductionmentioning
confidence: 99%