Parallel Computing Method of Pure Alternative Segment Explicit-Implicit Difference Scheme for Nonlinear Leland Equation

Parallel Computing Method of Pure Alternative Segment Explicit-Implicit Difference Scheme for Nonlinear Leland Equation

Year:    2018

Author:    Ruifang Yan, Xiaozhong Yang, Shuzhen Sun

Annals of Applied Mathematics, Vol. 34 (2018), Iss. 3 : pp. 302–318

Abstract

The research on the numerical solution of the nonlinear Leland equation has important theoretical significance and practical value. To solve nonlinear Leland equation, this paper offers a class of difference schemes with parallel nature which are pure alternative segment explicit-implicit (PASE-I) and implicit-explicit (PASI-E) schemes. It also gives the existence and uniqueness, the stability and the error estimate of numerical solutions for the parallel difference schemes. Theoretical analysis demonstrates that PASE-I and PASI-E schemes have obvious parallelism, unconditionally stability and second-order convergence in both space and time. The numerical experiments verify that the calculation accuracy of PASE-I and PASI-E schemes are better than that of the existing alternating segment Crank-Nicolson scheme, alternating segment explicit-implicit and implicit-explicit schemes. The speedup of PASE-I scheme is 9.89, compared to classical Crank-Nicolson scheme. Thus the schemes given by this paper are highly efficient and practical for solving the nonlinear Leland equation.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2018-AAM-20579

Annals of Applied Mathematics, Vol. 34 (2018), Iss. 3 : pp. 302–318

Published online:    2018-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    17

Keywords:    nonlinear Leland equation pure alternative segment explicit-implicit scheme (PASE-I) stability truncation error analysis parallel computing numerical experiments.

Author Details

Ruifang Yan

Xiaozhong Yang

Shuzhen Sun