28 citations · 76 across the 13 of their papers we have counts for
19 papers
Computer algebra in Julia
Dmitry S. Kulyabov, Anna V. Korolkova
Recently, the place of the main programming language for scientific and engineering computations has been little by little taken by Julia. Some users want to work completely within…
Practical application of the multi-model approach in the study of complex systems
Anna V. Korolkova, Dmitry S. Kulyabov, Michal Hnatič
Different kinds of models are used to study various natural and technical phenomena. Usually, the researcher is limited to using a certain kind of model approach, not using others…
Approaches to the implementation of generalized complex numbers in the Julia language
Migran N. Gevorkyan, Anna V. Korolkova, Dmitry S. Kulyabov
In problems of mathematical physics, to study the structures of spaces using the Cayley-Klein models in theoretical calculations, the use of generalized complex numbers is required…
Languages for modeling the RED active queue management algorithms: Modelica vs. Julia
Anna Maria Yu. Apreutesey, Anna V. Korolkova, Dmitry S. Kulyabov
This work is devoted to the study of the capabilities of the Modelica and Julia programming languages for the implementation of a continuously discrete paradigm in modeling hybrid…
A modular extension for a computer algebra system
Migran N. Gevorkyan, Anna V. Korolkova, Dmitry S. Kulyabov +1
Computer algebra systems are complex software systems that cover a wide range of scientific and practical problems. However, the absolute coverage cannot be achieved. Often, it is…
A practical approach to testing random number generators in computer algebra systems
Migran N. Gevorkyan, Dmitry S. Kulyabov, Anastasia V. Demidova +1
This paper has a practical aim. For a long time, implementations of pseudorandom number generators in standard libraries of programming languages had poor quality. The situation st…