The Convergence and MS Stability of Exponential Euler Method for Semilinear Stochastic Differential Equations

<table>The numerical solutions with <svg height="13.55" id="M251" style="vertical-align:-2.29482pt" version="1.1" viewbox="0 0 89.724998 13.55" width="89.724998" xmlns="http://www.w3.org/2000/svg">
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<tspan style="font-size: 12.50px; " x="0" y="0">𝜆</tspan>
<tspan style="font-size: 12.50px; " x="10.227454" y="0">=</tspan>
<tspan style="font-size: 12.50px; " x="22.267843" y="0">−</tspan>
<tspan style="font-size: 12.50px; " x="30.832397" y="0">3</tspan>
<tspan style="font-size: 12.50px; " x="37.083897" y="0">,</tspan>
<tspan style="font-size: 12.50px; " x="42.297649" y="0">𝜇</tspan>
<tspan style="font-size: 12.50px; " x="53.375305" y="0">=</tspan>
<tspan style="font-size: 12.50px; " x="65.415695" y="0">3</tspan>
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Abstract and Applied Analysis

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Figure 3

Figure 3: The Convergence and MS Stability of Exponential Euler Method for Semilinear Stochastic Differential Equations 