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Efficient numerical method for solving Cauchy problem for the Gamma equation

机译:求解伽马方程的Cauchy问题的有效数值方法

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In this work we consider Cauchy problem for the so called Gamma equation, derived by transforming the fully nonlinear Black‐Scholes equation for option price into a quasilinear parabolic equation for the second derivative (Greek) Γ? = ?VSS of the option price V. We develop an efficient numerical method for solving the model problem concerning different volatility terms. Using suitable change of variables the problem is transformed on finite interval, keeping original behavior of the solution at the infinity. Then we construct Picard‐Newton algorithm with adaptive mesh step in time, which can be applied also in the case of non‐differentiable functions. Results of numerical simulations are given.
机译:在这项工作中,我们考虑所谓的伽马方程式的Cauchy问题,通过将完全非线性黑人方程转变为选项价格的全部非线性黑人方程,以进入第二衍生物(希腊语)γ的Quasilinear抛物线方程? =?vss的选项V.我们开发了一种有效的数值方法,用于解决有关不同波动性术语的模型问题。使用适当的变量变化变化,问题在有限间隔内转换,在无限远处保持解决方案的原始行为。然后,我们用自适应网格逐步构建皮卡德 - 牛顿算法,该算法也可以在非可分子功能的情况下应用。给出了数值模拟的结果。

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