Abstract
Correlative randomized algorithms are constructed by simple randomization of the algorithm of maximum cross-section (equalization, delta tracking) with the use of a one-dimensional distribution and the correlation function or only correlation length of a random medium. The value of the used correlation length can be adjusted using simple test studies. The calculations carried out confirmed the practical effectiveness of the new algorithms.
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Funding: The work was completed within the framework of the state task for ICM&MG of Siberian Branch of RAS No. 0251–2021–0002.
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© 2021 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Comparison of nonlinear solvers within continuation method for steady-state variably saturated groundwater flow modelling
- A regularized isothermal phase-field model of two-phase solid–fluid mixture and its spatial dissipative discretization equations
- New correlative randomized algorithms for statistical modelling of radiation transfer in stochastic medium
- The suite of Taylor–Galerkin class schemes for ice transport on sphere implemented by the INMOST package
- Stability analysis of implicit semi-Lagrangian methods for numerical solution of non-hydrostatic atmospheric dynamics equations
Artikel in diesem Heft
- Frontmatter
- Comparison of nonlinear solvers within continuation method for steady-state variably saturated groundwater flow modelling
- A regularized isothermal phase-field model of two-phase solid–fluid mixture and its spatial dissipative discretization equations
- New correlative randomized algorithms for statistical modelling of radiation transfer in stochastic medium
- The suite of Taylor–Galerkin class schemes for ice transport on sphere implemented by the INMOST package
- Stability analysis of implicit semi-Lagrangian methods for numerical solution of non-hydrostatic atmospheric dynamics equations