| Title | On an algorithm for resolving spatial structures with internal non-matching boundaries |
|---|---|
| Authors | I. M. Gubaydullin1, 2, I. R. Yanglyaev1, 3, Y. A. Poveshchenko4, V. O. Podryga4, 5, O. S. Yazovtseva1, 3 1USPTU 2IPC UFRC RAS 3National Research Mordovian State University 4KIAM 5MADI |
| Annotation | The work presents an algorithm for the direct resolution of domain structures with internal non-matching boundaries. A grid with a coarse spatial partition (a macrogrid with macrocells) is organized in the integration area, and grids with a finer spatial step (microgrids with microcells) are built inside some of its cells for detailed computations. The boundaries of macrocells with adjoining microcells are non-matching in the steps of spatial grids. The symbolic tridiagonal matrix algorithm (TDMA) is implemented on microgrids, a modification of the classical tridiagonal matrix algorithm, the main difference of which is in the polynomial representation of the grid function, the TDMA coefficients and the residual. The polynomials depend on the function values at the nodes of the decomposed macrocells. To coupling solutions on non-matching boundaries, preconditioners are used to preserve the properties of self-conjugacy, sign-definiteness, and monotonicity of the complete operator of the boundary value problem. |
| Keywords | mathematical modeling, two-phase filtration, tridiagonal matrix algorithm, mortar grids, piezoconductivity equation, fractured-porous medium, carbonate reservoir. |
| Citation | Gubaydullin I. M., Yanglyaev I. R., Poveshchenko Y. A., Podryga V. O., Yazovtseva O. S. ''On an algorithm for resolving spatial structures with internal non-matching boundaries'' [Electronic resource]. Mathematical modeling, numerical methods, and software systems: Collection of materials from the 12th All‑Russian Scientific Youth School‑Seminar named after E. V. Voskresensky (Saransk, July 21–24, 2026). - pp. 61-63. Available at: https://conf.svmo.ru/files/2026/papers/paper74.pdf. - Date of access: 25.09.2026. |
© SVMO, National Research Mordovia State University, 2026
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