The Multi-vector Compressed Storage of Lower Half Banded Matrix

DOI

10.2991/iceat-16.2017.73How to use a DOI?

Keywords

Multi-vector, Compressed Storage, Lower Half Banded Matrix

Abstract

Matrix is a mathematical object, commonly used in scientific computing and engineering calculation. In the data structure we are not interested in data itself, but 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 multi-vector compressed storage problems of lower half banded matrix, and obtained the row and column priority compressed storage address mapping function for the first time.

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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TY  - CONF
AU  - Zhiguo Ren
AU  - Qiuju Yue
AU  - Han Zhang
PY  - 2016/05
DA  - 2016/05
TI  - The Multi-vector Compressed Storage of Lower Half Banded Matrix
BT  - Proceedings of the 2016 International Conference on Engineering and Advanced Technology
PB  - Atlantis Press
SP  - 360
EP  - 363
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceat-16.2017.73
DO  - 10.2991/iceat-16.2017.73
ID  - Ren2016/05
ER  -