LearnJulia in 2022

Learnjulia-in-2022

This repository includes the selected materials of the seminar "Scientific programming in the Julia language" conducted in ISE and the EPS of the FIC "Komi NC RAS ​​RAS". Materials are presented in the form of notebooks Jupyter Notebooks.

Content

• Data collection
• Linear algebra
• Numerical solution of differential equations
  • Introduction
  • Application of the Differentialequates.jl package
  • Systems of differential-algebraic equations
  • Stochastic differential equations