Enhanced Unconditionally Positive Finite Difference Method for Advection–Diffusion–Reaction Equations

Ndivhuwo Ndou, Phumlani Dlamini, Byron Alexander Jacobs

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

In this study, we develop the enhanced unconditionally positive finite difference method (EUPFD), and use it to solve linear and nonlinear advection–diffusion–reaction (ADR) equations. This method incorporates the proper orthogonal decomposition technique to the unconditionally positive finite difference method (UPFD) to reduce the degree of freedom of the ADR equations. We investigate the efficiency and effectiveness of the proposed method by checking the error, convergence rate, and computational time that the method takes to converge to the exact solution. Solutions obtained by the EUPFD were compared with the exact solutions for validation purposes. The agreement between the solutions means the proposed method effectively solved the ADR equations. The numerical results show that the proposed method greatly improves computational efficiency without a significant loss in accuracy for solving linear and nonlinear ADR equations.

Original languageEnglish
Article number2639
JournalMathematics
Volume10
Issue number15
DOIs
Publication statusPublished - Aug 2022

Keywords

  • advection–diffusion–reaction equations
  • enhanced unconditionally positive finite difference method
  • proper orthogonal decomposition
  • unconditionally positive finite difference method

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • General Mathematics
  • Engineering (miscellaneous)

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