Modern applications in engineering and data science are increasingly based on
multidimensional data of exceedingly high volume, variety, and structural richness …

Machine learning and data mining algorithms are becoming increasingly important in
analyzing large volume, multi-relational and multi--modal datasets, which are often …

Cross Tensor Approximation (CTA) is a generalization of Cross/skeleton matrix and CUR
Matrix Approximation (CMA) and is a suitable tool for fast low-rank tensor approximation. It …

Rare-earth elements like neodymium, terbium and dysprosium are crucial to the
performance of permanent magnets used in various green-energy technologies like hybrid …

This brief paper provides a comparison of methods for enclosing a given zonotope within
another of lower complexity, commonly called order reduction. These techniques are …

The adequate choice of the docking target function impacts the accuracy of the ligand
positioning as well as the accuracy of the protein‐ligand binding energy calculation. To …

We present an exponential time integration method for the incompressible Navier--Stokes
equation. An essential step in our procedure is the treatment of the pressure by applying a …

In this study several commonly used implicit solvent models are compared with respect to
their accuracy of estimating solvation energies of small molecules and proteins, as well as …

Using a deterministic framework allows us to estimate a function with the purpose of
interpolating data in spatial statistics. Radial basis functions are commonly used for …

Authors consider the approaches to increase efficiency of calculations in the problem of
numerical modelling of electromagnetic wave scattering. To solve such kind of problems …