Izvestiya of Saratov University.

Mathematics. Mechanics. Informatics

ISSN 1816-9791 (Print)
ISSN 2541-9005 (Online)

For citation:

Klyachin V. A. Optimization of Calculus Mesh for Cryobiology Problem Based on Multidimensional Hashing Using NumPy. Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, 2014, vol. 14, iss. 3, pp. 355-362. DOI: 10.18500/1816-9791-2014-14-3-355-362, EDN: SMSJZH

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Published online: 
10.09.2014
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Language: 
Russian
Heading: 
Computer Sciences
UDC: 
519.683
DOI: 
10.18500/1816-9791-2014-14-3-355-362
EDN: 
SMSJZH

Optimization of Calculus Mesh for Cryobiology Problem Based on Multidimensional Hashing Using NumPy

Autors: 
Klyachin Vladimir Aleksandrovich, Volgograd State University
Abstract: 

In this paper, by the example of solving the problem of constructing the temperature field in cryotherapy shows efficiency of geometric hashing performed on the basis of the NumPy package for constructing appropriate computational grid. Such an arrangement implies for each node to determine its position relative to the polygonal area of irregular shape. Such forms often modeled surfaces of internal organs. Solution build computational grid will allow for 3D visualization of the temperature field in the vicinity of cryotherapy, which will facilitate the timely temperature control.

Key words: 
cryobiology
computation geometry
geometric hashing
References: 
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Received: 
06.03.2014
Accepted: 
20.07.2014
Published: 
10.09.2014
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