The Multi-vector Compressed Storage of Lower Half Banded Matrix
Zhiguo Ren, Qiuju Yue, Han Zhang
Available Online May 2016.
- 10.2991/iceat-16.2017.73How to use a DOI?
- Multi-vector, Compressed Storage, Lower Half Banded Matrix
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.
- © 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 - 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 -