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Model Order Reduction Techniques for Nonlinear Cross-Diffusion Systems With Rational Reaction Functions

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  • Gülden Mülayim

Abstract

This study employs the Shigesada–Kawasaki–Teramoto (SKT) model with rational reaction terms as a benchmark for reduced-order models (ROMs) of nonlinear cross-diffusion systems. Full-order models (FOMs) are derived through temporal discretization using an implicit-symplectic (IMSP) scheme and spatial discretization via the finite difference methods. Both FOMs and ROMs share a unified construction framework. To compute ROM solutions, the proper orthogonal decomposition (POD) method is first applied, followed by the discrete empirical interpolation method (DEIM) to handle nonlinear terms efficiently. The Q-DEIM technique is further integrated to enhance numerical robustness. The efficacy of the ROM solutions is validated through numerical experiments in both one- and two-dimensional domains.

Suggested Citation

  • Gülden Mülayim, 2026. "Model Order Reduction Techniques for Nonlinear Cross-Diffusion Systems With Rational Reaction Functions," Journal of Mathematics, Hindawi, vol. 2026, pages 1-12, September.
  • Handle: RePEc:hin:jjmath:1582888
    DOI: 10.1155/jom/1582888
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