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iamdzg

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[求助] 麻烦查一下这篇文章的EI检索号

麻烦查一下这篇文章的EI检索号,谢谢!

Algorithm Research for Vector-linked List Sparse Matrix Multiplication

Proceedings 2010 Asia-Pacific Conference on wearable Computing Systems, 2010(4).
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sys_gao

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【答案】应助回帖

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iamdzg: 金币+5, ★★★很有帮助, 谢谢! 2012-08-05 14:25:11
Accession number:  20102813070530

  Title:  Algorithm research for vector-linked list sparse matrix multiplication
  Authors:  Hu, Jikuan1 ; Wang, Weiqing1  
  Author affiliation:  1 Department of Information Management, Southwest University Rongchang Campus, Chongqing, China  
  Corresponding author:  Hu, J. (hujikuan@tom.com)  
  Source title:  APWCS 2010 - 2010 Asia-Pacific Conference on Wearable Computing Systems
  Abbreviated source title:  APWCS - Asia-Pac. Conf. Wearable Comput. Syst.
  Monograph title:  APWCS 2010 - 2010 Asia-Pacific Conference on Wearable Computing Systems
  Issue date:  2010
  Publication year:  2010
  Pages:  118-121
  Article number:  5481220
  Language:  English
  ISBN-13:  9780769540030  
  Document type:  Conference article (CA)
  Conference name:  2010 Asia-Pacific Conference on Wearable Computing Systems, APWCS 2010
  Conference date:  April 17, 2010 - April 18, 2010
  Conference location:  Shenzhen, China
  Conference code:  80933  
  Sponsor:  Intelligent Information Technology Application; Research Association
  Publisher:  IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
  Abstract:  The storage of non-zero elements of sparse matrix in the linked lists can dispense with transpose operation in the multiplication process, because multiplication shall be conducted only for elements in the two sparse matrices whose line number and column number are the same and whose values are not zero. As a result, the number of multiplications will be reduced. In the meantime, the use of linked list to store the elements of matrix will cut back the times of scanning the matrix elements. The theoretical analysis and experimental results show that algorithm of Vector-linked list sparse matrix multiplication has greater time efficiency and needs less storage space. It will lay the foundation for research in the field of image processing. © 2010 IEEE.
  Number of references:  10
  Main heading:  Matrix algebra  
  Controlled terms:  Image processing  -  Industrial research  -  Vector spaces  -  Vectors  -  Wearable computers  
  Uncontrolled terms:  Cut back  -  matrix  -  Matrix elements  -  Sparse matrices  -  Storage spaces  -  Time efficiencies  
  Classification code:  921.1 Algebra -  921 Mathematics -  912.1 Industrial Engineering -  901.3 Engineering Research -  741 Light, Optics and Optical Devices -  723.2 Data Processing and Image Processing -  722.4 Digital Computers and Systems
  DOI:  10.1109/APWCS.2010.36
  Database:  Compendex
   Compilation and indexing terms, © 2012 Elsevier Inc.

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