The course gives an introduction to analytical techniques for partial differential equations, in particular to separation of variables. In addition the course treats qualititative properties of ...
linear stochastic differential equations, theory for diffusion processes, Markov processes, Dynkin’s Formula, Girsanov’s Theorem. The course gives an introduction to the most common numerical methods ...
To register your interest please contact [email protected] providing details of the course you are teaching. This comprehensive introduction to global spectral methods for fractional ...
py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...
Abstract: Problems involving the classical linear partial differential equations of mathematical physics can be reduced to algebraic ones of a very much simpler structure by replacing the ...
The partial differential equations (PDEs) are a pervasive task in the field of engineering and medicine ... AI is advancing at a rapid pace, and the introduction of new AI frameworks like DIMON marks ...