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A Kernel-Based Algorithm for Numerical Solution of Nonlinear PDEs in Finance

机译:金融中非线性PDE数值求解的基于核的算法

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We present an algorithm for approximate solutions to certain nonlinear model equations from financial mathematics, using kernels techniques (fundamental solution, Green's function) for the linear Black-Scholes operator as a basis of the computation. Numerical experiments for comparison the accuracy of the algorithms with other known numerical schemes are discussed. Finally, observations are given.
机译:我们使用线性Black-Scholes算子的核技术(基本解,格林函数),提出了一种针对金融数学中某些非线性模型方程的近似解的算法。讨论了将算法的精度与其他已知数值方案进行比较的数值实验。最后,给出了观察结果。

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