Proceedings of the 2016 International Conference on Engineering and Advanced Technology

The Single-vector and Multi-vector Mixed Compressed Storage of Tangent Matrix

Authors
Wenjiao Da, Xiuli Wang, Jing Wen, Han Zhang
Corresponding Author
Wenjiao Da
Available Online May 2016.
DOI
10.2991/iceat-16.2017.1How to use a DOI?
Keywords
The compressed storage, single-vector, multi-vector, the tangent matrix
Abstract

Matrix is a mathematical object, commonly used in scientific computing and engineering calculation. We are not interested in data itself in the data structure, but interested in how to store the elements in the matrix, and make the various operations can run effectively. The main purpose of the compressed storage is to make more of the same nonzero elements share the same storage unit according to the distribution of matrix element, while the zero elements don't allocate storage space. In this paper, we studied the single-vector and multi-vector compressed storage problems of tangent matrix, and obtained the row and column priority compressed storage address mapping function. These two kinds of compressed storage have a high compression ratio. These conclusions hope to provide the basis theory of data compression storage for the scientific research workers.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Engineering and Advanced Technology
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
10.2991/iceat-16.2017.1
ISSN
2352-5401
DOI
10.2991/iceat-16.2017.1How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wenjiao Da
AU  - Xiuli Wang
AU  - Jing Wen
AU  - Han Zhang
PY  - 2016/05
DA  - 2016/05
TI  - The Single-vector and Multi-vector Mixed Compressed Storage of Tangent Matrix
BT  - Proceedings of the 2016 International Conference on Engineering and Advanced Technology
PB  - Atlantis Press
SP  - 1
EP  - 4
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceat-16.2017.1
DO  - 10.2991/iceat-16.2017.1
ID  - Da2016/05
ER  -