Symbolic vector analysis in plasma physics
Main Author: | CPC, Mendeley |
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Other Authors: | Qin, H., Tang, W.M., Rewoldt, G. |
Format: | Dataset |
Terbitan: |
Mendeley
, 1999
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Subjects: | |
Online Access: |
https:/data.mendeley.com/datasets/xknnb7cm4n |
ctrlnum |
0.17632-xknnb7cm4n.1 |
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fullrecord |
<?xml version="1.0"?>
<dc><creator>CPC, Mendeley</creator><title>Symbolic vector analysis in plasma physics </title><publisher>Mendeley</publisher><description>Abstract
Many problems in plasma physics involve substantial amounts of analytical vector calculation. The complexity usually originates from both the vector operations themselves and the underlying coordinate systems. A computer algebra package for symbolic vector analysis in general coordinate systems, GeneralVectorAnalysis (GVA), is developed using Mathematica. The modern viewpoint for 3D vector calculus, differential forms on 3-manifolds, is adopted to unify and systematize the vector calculus ope...
Title of program: GeneralVectorAnalysis
Catalogue Id: ADJP_v1_0
Nature of problem
The analytical calculations using vector calculus that appear in plasma physics, fluid dynamics, and other fields sometimes can become extremely complex. The complexity usually originates from both the vector operations themselves and the underlying coordinate systems.
Versions of this program held in the CPC repository in Mendeley Data
ADJP_v1_0; GeneralVectorAnalysis; 10.1016/S0010-4655(98)00144-1
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)</description><subject>Computational Physics</subject><subject>Plasma Physics</subject><subject>Computer Algebra System</subject><contributor>Qin, H.</contributor><contributor>Tang, W.M.</contributor><contributor>Rewoldt, G.</contributor><type>Other:Dataset</type><identifier>10.17632/xknnb7cm4n.1</identifier><rights>Computer Physics Communications Journal Licence</rights><rights>https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/</rights><relation>https:/data.mendeley.com/datasets/xknnb7cm4n</relation><date>1999-01-01T12:00:00Z</date><recordID>0.17632-xknnb7cm4n.1</recordID></dc>
|
format |
Other:Dataset Other |
author |
CPC, Mendeley |
author2 |
Qin, H. Tang, W.M. Rewoldt, G. |
title |
Symbolic vector analysis in plasma physics |
publisher |
Mendeley |
publishDate |
1999 |
topic |
Computational Physics Plasma Physics Computer Algebra System |
url |
https:/data.mendeley.com/datasets/xknnb7cm4n |
contents |
Abstract
Many problems in plasma physics involve substantial amounts of analytical vector calculation. The complexity usually originates from both the vector operations themselves and the underlying coordinate systems. A computer algebra package for symbolic vector analysis in general coordinate systems, GeneralVectorAnalysis (GVA), is developed using Mathematica. The modern viewpoint for 3D vector calculus, differential forms on 3-manifolds, is adopted to unify and systematize the vector calculus ope...
Title of program: GeneralVectorAnalysis
Catalogue Id: ADJP_v1_0
Nature of problem
The analytical calculations using vector calculus that appear in plasma physics, fluid dynamics, and other fields sometimes can become extremely complex. The complexity usually originates from both the vector operations themselves and the underlying coordinate systems.
Versions of this program held in the CPC repository in Mendeley Data
ADJP_v1_0; GeneralVectorAnalysis; 10.1016/S0010-4655(98)00144-1
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) |
id |
IOS7969.0.17632-xknnb7cm4n.1 |
institution |
Universitas Islam Indragiri |
affiliation |
onesearch.perpusnas.go.id |
institution_id |
804 |
institution_type |
library:university library |
library |
Teknologi Pangan UNISI |
library_id |
2816 |
collection |
Artikel mulono |
repository_id |
7969 |
city |
INDRAGIRI HILIR |
province |
RIAU |
shared_to_ipusnas_str |
1 |
repoId |
IOS7969 |
first_indexed |
2020-04-08T08:11:21Z |
last_indexed |
2020-04-08T08:11:21Z |
recordtype |
dc |
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1686587388022751232 |
score |
17.538404 |