Numerical-Analytical Method for Nonlinear Equations of Kolmogorov–Petrovskii–Piskunov Type

This paper deals with an efficient solution of basic initial-boundary value problems for one-dimensional nonlinear parabolic equations describing reaction–diffusion processes. These equations include the Kolmogorov–Petrovskii–Piskunov and Burgers equations. A numerical-analytical method based on an implicit discretization of the differential operator in combination with the explicit Adams–Bashforth extrapolation for the nonlinear term of the equation is proposed for the problems under study. A new efficient algorithm relying on analytical representations using the fundamental system of solutions in explicit form is developed for solving the arising sequence of linear problems. The efficiency of the developed method and its advantages over some traditional algorithms are demonstrated on several complicated model examples.

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Publication Details

Journal
Computational Mathematics and Mathematical Physics
Published
2024-11-01
DOI
https://doi.org/10.1134/s0965542524701513
Citations
2
Primary Topic
Quantum chaos and dynamical systems
Type
article
Field-Weighted Citation Impact
0.56
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article

Numerical-Analytical Method for Nonlinear Equations of Kolmogorov–Petrovskii–Piskunov Type

С. И. Безродных, С. В. Пикулин
2 citations
Computational Mathematics and Mathematical Physics
Quantum chaos and dynamical systems
0.56
article

Numerical-Analytical Method for Nonlinear Equations of Kolmogorov–Petrovskii–Piskunov Type

С. И. Безродных, С. В. Пикулин
article en
2 citations

Abstract

This paper deals with an efficient solution of basic initial-boundary value problems for one-dimensional nonlinear parabolic equations describing reaction–diffusion processes. These equations include the Kolmogorov–Petrovskii–Piskunov and Burgers equations. A numerical-analytical method based on an implicit discretization of the differential operator in combination with the explicit Adams–Bashforth extrapolation for the nonlinear term of the equation is proposed for the problems under study. A new efficient algorithm relying on analytical representations using the fundamental system of solutions in explicit form is developed for solving the arising sequence of linear problems. The efficiency of the developed method and its advantages over some traditional algorithms are demonstrated on several complicated model examples.

Computational Mathematics and Mathematical PhysicsVol. 64(11)
Russian Academy of Sciences (RU)
Openalex Percentile: Top 33%
Quantum chaos and dynamical systems
0.56
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