Title :
Adaptive transport network model based on sparse matrix process technics
Author :
Ye, Li ; Danni, Lu
Author_Institution :
Transp. Eng. Dept., Tongji Univ., Shanghai, China
Abstract :
In order to solve the sparse matrix linear equations problem in the simulation of area transportation activity, we provide here two process methods for sparse matrix in biological adaptive transport network model. At the end of this paper, we present a simple numerical example to show the efficiency of the methods we provide.
Keywords :
biotransport; matrix algebra; area transportation activity; biological adaptive transport network model; sparse matrix linear equations problem; Adaptation model; Biological system modeling; Electron tubes; Mathematical model; Matrix decomposition; Sparse matrices; Symmetric matrices; Adaptive network; Preconditioned Conjugate Gradient method; Sparse matrix; Successive Over-Relaxation method;
Conference_Titel :
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-61284-108-3
DOI :
10.1109/ICBMEI.2011.5914431