Multivariate trigonometric series are used for analytical and numerical solutions of a wide class of applied problems. This mathematical tool is in demand in celestial mechanics, quantum mechanics, electrical engineering, acoustics, optics, and the theory of signal and image processing. Multiplying such series when implementing numerical methods is a complex task that requires a large amount of machine time and memory. The formulas for the coefficients of the product of multivariate series derived in this article, can significantly reduce memory consumption and calculation time. Therefore, the use of these formulas in the software development to solve the mentioned tasks can improve its quality and competitiveness. All the results obtained are presented in the conclusion as final formulas for software implementation.
Original languageEnglish
Title of host publicationStability and Control Processes
Subtitle of host publicationProceedings of the 4th International Conference Dedicated to the Memory of Professor Vladimir Zubov
EditorsN.V. Smirnov, Anna Golovkina
PublisherSpringer Nature
Pages319-327
Number of pages9
ISBN (Electronic)978-3-030-87966-2
ISBN (Print)978-3-030-87965-5
DOIs
StatePublished - 16 Mar 2022
EventStability and Control Processes: International Conference Dedicated to the Memory of Professor Vladimir Zubov: Dedicated to the Memory of Professor Vladimir Zubov - Санкт-Петербургский Государственный Университет, Saint Petersburg, Russian Federation
Duration: 5 Oct 20209 Oct 2020
Conference number: 4
http://www.apmath.spbu.ru/scp2020/
http://www.apmath.spbu.ru/scp2020/ru/main/
http://www.apmath.spbu.ru/scp2020/eng/program/#schedule
https://link.springer.com/conference/scp

Publication series

NameLecture Notes in Control and Information Sciences - Proceedings
PublisherSpringer Nature
ISSN (Print)2522-5383

Conference

ConferenceStability and Control Processes: International Conference Dedicated to the Memory of Professor Vladimir Zubov
Abbreviated titleSCP2020
Country/TerritoryRussian Federation
CitySaint Petersburg
Period5/10/209/10/20
Internet address

ID: 96503759