Influence of external source on KPI equation

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

1 цитирование (Scopus)

Выдержка

The analysis of external sources influence on 2D waves evolution is carried out with special attention to the possibility of exponential growing. We have proposed master equation, that is the generalization of Kadomtsev-Petviashvili-I Equation (KPI), that shows major part of the problems in ocean waves evolution and at the same time most difficult from the point of view of numerical algorithm stability. Some indications for choosing of correct numerical procedures are given. This analysis is especially relevant in connection with the emergence of new hybrid computing architectures, the porting of applications on which strongly depends on the chosen algorithm.

Язык оригиналаанглийский
Название основной публикацииComputational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings
ИздательSpringer
Страницы123-135
Число страниц13
ISBN (печатное издание)9783319951706
DOI
СостояниеОпубликовано - 1 янв 2018
Событие18th International Conference on Computational Science and Its Applications, ICCSA 2018 - Melbourne, Австралия
Продолжительность: 2 июл 20185 июл 2018

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том10963 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

Конференция

Конференция18th International Conference on Computational Science and Its Applications, ICCSA 2018
СтранаАвстралия
ГородMelbourne
Период2/07/185/07/18

Ключевые слова

    Предметные области Scopus

    • Теоретические компьютерные науки
    • Компьютерные науки (все)

    Цитировать

    Bogdanov, A. V., Mareev, V. V., Kulabukhova, N. V., Degtyarev, A. B., & Shchegoleva, N. L. (2018). Influence of external source on KPI equation. В Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings (стр. 123-135). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 10963 LNCS). Springer. https://doi.org/10.1007/978-3-319-95171-3_11
    Bogdanov, Alexander V. ; Mareev, Vladimir V. ; Kulabukhova, Nataliia V. ; Degtyarev, Alexander B. ; Shchegoleva, Nadezhda L. / Influence of external source on KPI equation. Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Springer, 2018. стр. 123-135 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
    @inproceedings{eaec0ca2a7854089911103b9e6ba35ab,
    title = "Influence of external source on KPI equation",
    abstract = "The analysis of external sources influence on 2D waves evolution is carried out with special attention to the possibility of exponential growing. We have proposed master equation, that is the generalization of Kadomtsev-Petviashvili-I Equation (KPI), that shows major part of the problems in ocean waves evolution and at the same time most difficult from the point of view of numerical algorithm stability. Some indications for choosing of correct numerical procedures are given. This analysis is especially relevant in connection with the emergence of new hybrid computing architectures, the porting of applications on which strongly depends on the chosen algorithm.",
    keywords = "Kadomtsev-Petviashvili-I equation, Numerical methods, Solution",
    author = "Bogdanov, {Alexander V.} and Mareev, {Vladimir V.} and Kulabukhova, {Nataliia V.} and Degtyarev, {Alexander B.} and Shchegoleva, {Nadezhda L.}",
    year = "2018",
    month = "1",
    day = "1",
    doi = "10.1007/978-3-319-95171-3_11",
    language = "English",
    isbn = "9783319951706",
    series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
    publisher = "Springer",
    pages = "123--135",
    booktitle = "Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings",
    address = "Germany",

    }

    Bogdanov, AV, Mareev, VV, Kulabukhova, NV, Degtyarev, AB & Shchegoleva, NL 2018, Influence of external source on KPI equation. в Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), том. 10963 LNCS, Springer, стр. 123-135, 18th International Conference on Computational Science and Its Applications, ICCSA 2018, Melbourne, Австралия, 2/07/18. https://doi.org/10.1007/978-3-319-95171-3_11

    Influence of external source on KPI equation. / Bogdanov, Alexander V.; Mareev, Vladimir V.; Kulabukhova, Nataliia V.; Degtyarev, Alexander B.; Shchegoleva, Nadezhda L.

    Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Springer, 2018. стр. 123-135 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 10963 LNCS).

    Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

    TY - GEN

    T1 - Influence of external source on KPI equation

    AU - Bogdanov, Alexander V.

    AU - Mareev, Vladimir V.

    AU - Kulabukhova, Nataliia V.

    AU - Degtyarev, Alexander B.

    AU - Shchegoleva, Nadezhda L.

    PY - 2018/1/1

    Y1 - 2018/1/1

    N2 - The analysis of external sources influence on 2D waves evolution is carried out with special attention to the possibility of exponential growing. We have proposed master equation, that is the generalization of Kadomtsev-Petviashvili-I Equation (KPI), that shows major part of the problems in ocean waves evolution and at the same time most difficult from the point of view of numerical algorithm stability. Some indications for choosing of correct numerical procedures are given. This analysis is especially relevant in connection with the emergence of new hybrid computing architectures, the porting of applications on which strongly depends on the chosen algorithm.

    AB - The analysis of external sources influence on 2D waves evolution is carried out with special attention to the possibility of exponential growing. We have proposed master equation, that is the generalization of Kadomtsev-Petviashvili-I Equation (KPI), that shows major part of the problems in ocean waves evolution and at the same time most difficult from the point of view of numerical algorithm stability. Some indications for choosing of correct numerical procedures are given. This analysis is especially relevant in connection with the emergence of new hybrid computing architectures, the porting of applications on which strongly depends on the chosen algorithm.

    KW - Kadomtsev-Petviashvili-I equation

    KW - Numerical methods

    KW - Solution

    UR - http://www.scopus.com/inward/record.url?scp=85049997220&partnerID=8YFLogxK

    U2 - 10.1007/978-3-319-95171-3_11

    DO - 10.1007/978-3-319-95171-3_11

    M3 - Conference contribution

    SN - 9783319951706

    T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    SP - 123

    EP - 135

    BT - Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings

    PB - Springer

    ER -

    Bogdanov AV, Mareev VV, Kulabukhova NV, Degtyarev AB, Shchegoleva NL. Influence of external source on KPI equation. В Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Springer. 2018. стр. 123-135. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-95171-3_11