Fast algorithms for particle searching and positioning by cell registration and area comparison | Zendy

Yoshifumi OGAMI | Zendy

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Fast algorithms for particle searching and positioning by cell registration and area comparison

Author(s) -

Yoshifumi OGAMI

Publication year - 2021

Publication title -

trends in computer science and information technology

Language(s) - English

Resource type - Journals

ISSN - 2641-3086

DOI - 10.17352/tcsit.000032

Subject(s) - position (finance) , monte carlo method , grid , algorithm , computer science , process (computing) , particle filter , particle (ecology) , particle system , artificial intelligence , mathematics , geometry , computer graphics (images) , statistics , oceanography , finance , kalman filter , economics , geology , operating system

In the direct simulation Monte Carlo method and multi-phase flow calculations, structured and unstructured grid systems for complex geometries necessitate the time-consuming process of searching a large number of cells to position target particles.

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