2020
DOI: 10.1007/s10915-020-01221-0
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Modified Monotonicity Preserving Constraints for High-Resolution Optimized Compact Scheme

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Cited by 6 publications
(2 citation statements)
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“…We also set the outflow boundaries along all directions. The MHD equations were solved numerically using a highorder shock-capturing adaptive refinement Godunov-type code AMUN 1 with 5 th order optimized compact monotonicity preserving reconstruction of Riemann states (Ahn and Lee, 2020), the HLLD Riemann flux solver (Mignone, 2007), and the 3 rd order 4-step Strong Stability Preserving Runge-Kutta (SSPRK) method (Gottlieb et al, 2011) for time integration. The system was evolved until t 21 c. u.…”
Section: Magnetohydrodynamic Model Of Colliding-wind Binarymentioning
confidence: 99%
“…We also set the outflow boundaries along all directions. The MHD equations were solved numerically using a highorder shock-capturing adaptive refinement Godunov-type code AMUN 1 with 5 th order optimized compact monotonicity preserving reconstruction of Riemann states (Ahn and Lee, 2020), the HLLD Riemann flux solver (Mignone, 2007), and the 3 rd order 4-step Strong Stability Preserving Runge-Kutta (SSPRK) method (Gottlieb et al, 2011) for time integration. The system was evolved until t 21 c. u.…”
Section: Magnetohydrodynamic Model Of Colliding-wind Binarymentioning
confidence: 99%
“…The MHD equations were solved numerically using a high-order shock-capturing adaptive refinement Godunov-type code AMUN 1 with 5 th -order Optimized Compact Monotonicity Preserving reconstruction of Riemann states (Ahn and Lee, 2020), the HLLD Riemann flux solver (Mignone, 2007), and the 3 rd -order 4-step Strong Stability Preserving Runge-Kutta (SSPRK) method (Gottlieb et al, 2011) for time integration. The system was evolved until t = 21 c.u.…”
Section: Mhd Model Of Colliding-wind Binarymentioning
confidence: 99%