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4 Results Found

  • Article
  • Open Access
1 Citations
1,762 Views
13 Pages

28 September 2022

The article offers a possible treatment for the numerical research of tasks which require searching for an absolute optimum. This approach is established by employing both globalized nature-inspired methods as well as local descent methods for explor...

  • Article
  • Open Access
4 Citations
3,472 Views
14 Pages

28 September 2021

This paper features the study of global optimization problems and numerical methods of their solution. Such problems are computationally expensive since the objective function can be multi-extremal, nondifferentiable, and, as a rule, given in the for...

  • Article
  • Open Access
14 Citations
3,781 Views
20 Pages

Optimization of Turbulence Model Parameters Using the Global Search Method Combined with Machine Learning

  • Konstantin Barkalov,
  • Ilya Lebedev,
  • Marina Usova,
  • Daria Romanova,
  • Daniil Ryazanov and
  • Sergei Strijhak

31 July 2022

The paper considers the slope flow simulation and the problem of finding the optimal parameter values of this mathematical model. The slope flow is modeled using the finite volume method applied to the Reynolds-averaged Navier–Stokes equations...

  • Article
  • Open Access
445 Views
25 Pages

12 December 2025

A class of nonlinear filtering problems connected with data fusion from various navigation sensors and a navigation system is considered. A special feature of these problems is that the posterior probability density function (PDF) of the state vector...