The Compression Storage Research for Half Banded Matrix | Zendy

Zhiguo Ren | Zendy; Wenjiao Da | Zendy; Yue Qiu-ju | Zendy; Chuan-Cheng Zhao | Zendy; Jun Liu | Zendy

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The Compression Storage Research for Half Banded Matrix

Author(s) -

Zhiguo Ren,

Wenjiao Da,

Yue Qiu-ju,

Chuan-Cheng Zhao,

Jun Liu

Publication year - 2017

Publication title -

destech transactions on engineering and technology research

Language(s) - English

Resource type - Journals

ISSN - 2475-885X

DOI - 10.12783/dtetr/mcee2016/6402

Subject(s) - matrix (chemical analysis) , computer science , computer data storage , compression (physics) , function (biology) , object (grammar) , sparse matrix , unit (ring theory) , computational science , algorithm , mathematics , materials science , computer hardware , physics , artificial intelligence , mathematics education , evolutionary biology , composite material , biology , quantum mechanics , gaussian

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 compressed storage problems of lower half banded matrix, and obtained the corresponding storage address mapping function, so as to help the scientific research worker.

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