Loading [MathJax]/jax/output/HTML-CSS/config.js
Journals
Resources
About Us
Open Access

A Fully Discrete Explicit Multistep Scheme for Solving Coupled Forward Backward Stochastic Differential Equations

A Fully Discrete Explicit Multistep Scheme for Solving Coupled Forward Backward Stochastic Differential Equations

Year:    2020

Author:    Ying Liu, Yabing Sun, Weidong Zhao

Advances in Applied Mathematics and Mechanics, Vol. 12 (2020), Iss. 3 : pp. 643–663

Abstract

In this work, we are concerned with the explicit multistep scheme for solving the coupled forward backward stochastic differential equations (FBSDEs). Based on the Lagrange interpolation and first-order derivative approximations, we will propose a fully discrete explicit high-order multistep scheme for solving coupled FBSDEs. Its high accuracy, efficiency and stability are verified by the numerical experiments.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/aamm.OA-2019-0079

Advances in Applied Mathematics and Mechanics, Vol. 12 (2020), Iss. 3 : pp. 643–663

Published online:    2020-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    21

Keywords:    Lagrange interpolation derivative approximation coupled forward backward stochastic differential equations explicit multistep scheme.

Author Details

Ying Liu

Yabing Sun

Weidong Zhao

  1. Backward Stackelberg Differential Game with Constraints: A Mixed Terminal-Perturbation and Linear-Quadratic Approach

    Feng, Xinwei | Hu, Ying | Huang, Jianhui

    SIAM Journal on Control and Optimization, Vol. 60 (2022), Iss. 3 P.1488

    https://doi.org/10.1137/20M1340769 [Citations: 7]
  2. Strong Stability Preserving Multistep Schemes for Forward Backward Stochastic Differential Equations

    Fang, Shuixin | Zhao, Weidong | Zhou, Tao

    Journal of Scientific Computing, Vol. 94 (2023), Iss. 3

    https://doi.org/10.1007/s10915-023-02111-x [Citations: 2]