Volume 25, Nº 1 (2025)
Mathematics
On one consequence of the Chebyshev alternance
Resumo
The classical problem of the best approximation of a continuous function by a polynomial over a Chebyshev system of functions is considered. It is known that the solution of the problem is characterized by alternance. In addition, there is a linear growth function of the deviation of the target function of the coefficients of the polynomial from its minimum value with respect to the deviation of the vector of coefficients from the optimal one. In this article, the formula for the exact coefficient of this linear growth function is obtained by means of convex analysis. In contrast to those obtained earlier, it is expressed in a form constructive for realization through the values of the Chebyshev system functions at the points realizing alternance.
4-14
Hopfian additive groups of rings
Resumo
15-23
A uniqueness theorem for mean periodic functions on the Bessel – Kingmann hypergroup
Resumo
24-33
On structure of isomorphisms of universal graphic automata
Resumo
34-45
A method for solving the Poincare boundary value problem for generalized harmonic functions in circular domains
Resumo
46-52
Planarity ranks for varieties of equationally noetherian semigroups
Resumo
53-56
Mechanics
Dynamics of P. L. Chebyshev’s paradoxical mechanism
Resumo
57-69
Numerical study of the hydrodynamics of supercavitation flow around an underwater body
Resumo
70-79
Asymptotic theory of the transient waves in shells of revolution at shock edge loading of the bending type
Resumo
80-90
Calculation of parameters of elastic and hyperelastic facial skin models
Resumo
91-105
Computer Sciences
Multi-agent modeling of evacuation from premises with consideration of agent collisions
Resumo
106-115
Development and analysis of an algorithm for detecting multiple instances of an object in microscopic images using numerical methods
Resumo
116-127
A novel method for generating the optimal routing matrix of queuing networks with batch service
Resumo
128-139
Mathematical models for processing and interpreting seismic data in a new seismic survey method
Resumo
140-149


