19 citations · 19 across the 2 of their papers we have counts for
4 papers
Model-agnostic multi-objective approach for the evolutionary discovery of mathematical models
Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya +3
In modern data science, it is often not enough to obtain only a data-driven model with a good prediction quality. On the contrary, it is more interesting to understand the properti…
Multi-objective discovery of PDE systems using evolutionary approach
Mikhail Maslyaev, Alexander Hvatov
Usually, the systems of partial differential equations (PDEs) are discovered from observational data in the single vector equation form. However, this approach restricts the applic…
Data-driven PDE discovery with evolutionary approach
Michail Maslyaev, Alexander Hvatov, Anna Kalyuzhnaya
The data-driven models allow one to define the model structure in cases when a priori information is not sufficient to build other types of models. The possible way to obtain physi…
Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation
Alexander Hvatov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya +1
High-resolution regional hindcasting of ocean and sea ice plays an important role in the assessment of shipping and operational risks in the Arctic Ocean. The ice-ocean model NEMO-…