2020
DOI: 10.1140/epjp/s13360-020-00765-2
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The explicit approximation approach to solve stiff chemical Langevin equations

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Cited by 8 publications
(1 citation statement)
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“…Stochastic ordinary di erential equations (SODEs) play a pivotal role in explaining some physical phenomena such as chemical reactions [9], nancial mathematics [10], mathematical ecology [11], epidemiology [12], medicine [13], and population dynamics [14]. Generally, SODEs cannot be solved analytical, but many numerical solutions can be found, for instance, the split-step theta Milstein method [15], the least-squares method [16], the discrete Temimi-Ansari method [17], the improved Euler-Maruyama method [18], the ve-stage Milstein method [19], the split-step Milstein method [20], the split-step Adams-Moulton Milstein method [21], the split-step forward Milstein method [22], and the Runge-Kutta method [23,24].…”
Section: Introductionmentioning
confidence: 99%
“…Stochastic ordinary di erential equations (SODEs) play a pivotal role in explaining some physical phenomena such as chemical reactions [9], nancial mathematics [10], mathematical ecology [11], epidemiology [12], medicine [13], and population dynamics [14]. Generally, SODEs cannot be solved analytical, but many numerical solutions can be found, for instance, the split-step theta Milstein method [15], the least-squares method [16], the discrete Temimi-Ansari method [17], the improved Euler-Maruyama method [18], the ve-stage Milstein method [19], the split-step Milstein method [20], the split-step Adams-Moulton Milstein method [21], the split-step forward Milstein method [22], and the Runge-Kutta method [23,24].…”
Section: Introductionmentioning
confidence: 99%