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Article . 2013
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Применение теории катастроф для классификации сценариев движения судна по створу

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2013 Russian Publisher:Федеральное государственное бюджетное образовательное учреждение высшего образования «Государственный университет морского и речного флота имени адмирала С.О. Макарова»Journal:Вестник государственного университета морского и речного флота им. адмирала С.О. Макарова (issn: 2309-5180 , Copyright policy )

Применение теории катастроф для классификации сценариев движения судна по створу

Abstract

Рассматривается возможность применения катастрофы сборки для моделирования навигационных ситуаций и их сценариев. Анализируется применение математической модели катастрофы сборки для плавания судна по створу.This article considers the possibility of application of cusp catastrophe to model navigational situations and their scenarios. An application of cusp catastrophe as a mathematical model for ship passing along the leading line is analyzed.

Keywords

НАВИГАЦИОННАЯ БЕЗОПАСНОСТЬ, ОПАСНЫЕ СИТУАЦИИ, ТЕОРИЯ КАТАСТРОФ, КАТАСТРОФА СБОРКИ, МОДЕЛИРОВАНИЕ НАВИГАЦИОННЫХ СИТУАЦИЙ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average