activity
20112023
most citedDeterministic approaches for solving practical black-box global optimization problems

76 citations · 631 across the 35 of their papers we have counts for

collaborators

37 papers

math.GM2023★ 3 cited

Lower and upper estimates of the quantity of algebraic numbers

Yaroslav D. Sergeyev

It is well known that the set of algebraic numbers (let us call it ) is countable. In this paper, instead of the usage of the classical terminology of cardinals proposed by Cant…

math.GM2023★ 14 cited

Some paradoxes of Infinity revisited

Yaroslav D. Sergeyev

In this article, some classical paradoxes of infinity such as Galileo's paradox, Hilbert's paradox of the Grand Hotel, Thomson's lamp paradox, and the rectangle paradox of Torricel…

math.OC2019★ 36 cited

Safe global optimization of expensive noisy black-box functions in the -Lipschitz framework

Yaroslav D. Sergeyev, Antonio Candelieri, Dmitri E. Kvasov +1

In this paper, the problem of safe global maximization (it should not be confused with robust optimization) of expensive noisy black-box functions satisfying the Lipschitz conditio…

math.NA2018

Conjugate-symplecticity properties of Euler--Maclaurin methods and their implementation on the Infinity Computer

F. Iavernaro, F. Mazzia, M. S. Mukhametzhanov +1

Multi-derivative one-step methods based upon Euler-Maclaurin integration formulae are considered for the solution of canonical Hamiltonian dynamical systems. Despite the negative r…

math.GM2018★ 41 cited

Independence of the grossone-based infinity methodology from non-standard analysis and comments upon logical fallacies in some texts asserting the opposite

Yaroslav D. Sergeyev

This commentary considers non-standard analysis and a recently introduced computational methodology based on the notion of \G1 (this symbol is called \emph{grossone}). The latter a…

math.OC2018★ 57 cited

On strong homogeneity of a class of global optimization algorithms working with infinite and infinitesimal scales

Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov

The necessity to find the global optimum of multiextremal functions arises in many applied problems where finding local solutions is insufficient. One of the desirable properties o…