For several years, parts of the content of this textbook have been used in undergraduate
courses in the Department of Mathematics and in the Faculty of Economics at the University …

In this paper we consider the problem of natural gas consumption hourly forecast on the
basis of hourly movement of temperature and natural gas consumption in the preceding …

The key to obtaining a mechanistic and reliable understanding of complex public opinion
formation processes is to identify the main mechanism governing interpersonal influence …

Motivated by the method for solving center-based Least Squares—clustering problem
(Kogan in Introduction to clustering large and high-dimensional data, Cambridge University …

In this paper, L1 minimization refers to finding the minimum L1-norm solution to an
overdetermined linear system y= X· p. The underdetermined variant of the same problem …

In this paper, we propose an adaptation of the well-known k-means algorithm for solving the
multiple spheres detection problem when data points are homogeneously scattered around …

In this paper, we consider the l1-clustering problem for a finite data-point set which should
be partitioned into k disjoint nonempty subsets. In that case, the objective function does not …

We consider the weighted median problem for a given set of data and analyze its main
properties. As an illustration, an efficient method for searching for a weighted Least Absolute …

In this paper a new method for estimation of optimal parameters of a best least absolute
deviations plane is proposed, which is based on the fact that there always exists a best least …

Nowadays public opinion formation faces unprecedented challenges such as opinion
radicalization, echo chambers, and information manipulation. Realistic and predictive …