Analysis and application of numerical methods for solving large systems of linear equations, which often represent the bottleneck when computing solutions to equations arising in fluid mechanics, ...

Analysis and implementation of numerical methods for random processes: random number generators, Monte Carlo methods, Markov chains, stochastic differential equations, and applications. Recommended ...

Publishing in the International Journal of Extreme Manufacturing (IJEM), researchers from Harbin Institute of Technology, Huazhong University of Science and Technology, Guizhou University and ...

A unified discussion of the Galerkin method is given for the approximate solution of Fredholm integral equations of the second kind and of similar linear operator equations. The numerical stability of ...

Optical systems employ a rich array of physical effects which are described by well-understood equations. However, for all but the simplest devices these equations are typically too complex to permit ...

We propose a new concept which allows us to apply any numerical method of weak approximation to a very broad class of stochastic differential equations (SDEs) with nonglobally Lipschitz coefficients.

What Are FEM, FDM and FVM? FEM, FDM and FVM differ from one another in important ways. Understanding these distinctions is key to selecting the method most appropriate for your purposes. The ...

The event is co-organized by Iran’s Meteorological Organization (IMO), Ministry of Transport and Urban Development, World Meteorological Organization (WMO) as well as Atmospheric Science & ...