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首页> 外文期刊>SIAM Journal on Numerical Analysis >Weak approximations and extrapolations of stochastic differential equations with jumps
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Weak approximations and extrapolations of stochastic differential equations with jumps

机译:带有跳的随机微分方程的弱逼近和外推

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摘要

Numerical discretization schemes are developed to approximate functionals of stochastic differential equations with jumps, and the convergence is shown to have an appropriate order. For the Euler scheme and the second order weak scheme, the leading coefficient of their global errors are determined by the stochastic Taylor expansion. Based on the error expression, the extrapolation technique can be applied to get a higher order convergence. Numerical examples are provided to compare various weak schemes and extrapolations. [References: 18]
机译:提出了数值离散化方案来近似具有跳变的随机微分方程的泛函,并且证明了收敛具有适当的阶数。对于欧拉方案和二阶弱方案,其全局误差的前导系数由随机泰勒展开式确定。基于误差表达式,可以应用外推技术以获得更高阶的收敛性。提供了数值示例来比较各种弱方案和外推法。 [参考:18]

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