A Yu Kashuba

A Yu Kashuba

Kazan Federal University

H-index: 5

Europe-Russia

About A Yu Kashuba

A Yu Kashuba, With an exceptional h-index of 5 and a recent h-index of 3 (since 2020), a distinguished researcher at Kazan Federal University, specializes in the field of численный анализ, методы оптимизации, системный анализ.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the Gradient Method for Solving Multi-Agent Systems.

Dual Decomposition Method for Reliable Allocations of Wireless Network Resources

Application of proximal point method to the problem of allocation of arcs in telecommunication networks

Penalty method for reliable allocations of wireless network resources

A Yu Kashuba Information

University

Kazan Federal University

Position

младший научный сотрудник (г. Казань); ведущий инженер ООО "АСТ Поволжье" (г. Казань)

Citations(all)

57

Citations(since 2020)

20

Cited By

47

hIndex(all)

5

hIndex(since 2020)

3

i10Index(all)

1

i10Index(since 2020)

0

Email

University Profile Page

Kazan Federal University

A Yu Kashuba Skills & Research Interests

численный анализ

методы оптимизации

системный анализ

Top articles of A Yu Kashuba

On the Gradient Method for Solving Multi-Agent Systems.

Authors

IV Konnov,A Yu Kashuba

Journal

Journal of Mathematical Sciences

Published Date

2022/11/1

We study multi-agent systems by considering the particular case of a system of linear equations. We propose to use the gradient method with penalty functions and present the numerical results of testing this method.

Dual Decomposition Method for Reliable Allocations of Wireless Network Resources

Authors

Igor Konnov,Alexey Kashuba,Erkki Laitinen

Published Date

2021

In the paper, we consider the problem of allocation of network resources in telecommunication networks with respect to both utility and reliability goals. We suggest a solution method based on decomposition and gradient methods for this problem. We present numerical results for the suggested method on test examples.

Application of proximal point method to the problem of allocation of arcs in telecommunication networks

Authors

Igor V Konnov,Alexey Yu Kashuba,Erkki Laitinen

Journal

2021 Workshop on Applied Mathematics and Fundamental Computer Science, AMFCS 2021, Omsk, Russia, April 24-29, 2021

Published Date

2021/4/29

In the paper we consider the problem of allocation of network resources in telecommunication networks with respect to both utility and reliability goals. We suggest a solution method based on a proximal point method for this problem. We present results of numerical results for the suggested method on test examples.

Penalty method for reliable allocations of wireless network resources

Authors

Igor V Konnov,Alexey Yu Kashuba,Erkki Laitinen

Journal

CEUR Workshop Proceedings

Published Date

2020

In the paper we consider the problem of allocation of network resources in telecommunication networks using both utility and reliability. We suggest a scalar utility maximization problem subject to capacity constraints and within the pre-defined reliability level. This problem is proposed to be solved by a penalty method. We present the results of numerical results on various test problems for the method.

See List of Professors in A Yu Kashuba University(Kazan Federal University)

A Yu Kashuba FAQs

What is A Yu Kashuba's h-index at Kazan Federal University?

The h-index of A Yu Kashuba has been 3 since 2020 and 5 in total.

What are A Yu Kashuba's top articles?

The articles with the titles of

On the Gradient Method for Solving Multi-Agent Systems.

Dual Decomposition Method for Reliable Allocations of Wireless Network Resources

Application of proximal point method to the problem of allocation of arcs in telecommunication networks

Penalty method for reliable allocations of wireless network resources

are the top articles of A Yu Kashuba at Kazan Federal University.

What are A Yu Kashuba's research interests?

The research interests of A Yu Kashuba are: численный анализ, методы оптимизации, системный анализ

What is A Yu Kashuba's total number of citations?

A Yu Kashuba has 57 citations in total.

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