Time-sharing computation utilizing analog memory
Takeo Miura and
Junzo Iwata
Mathematics and Computers in Simulation (MATCOM), 1963, vol. 5, issue 3, 141-149
Abstract:
The usual methods of the solution of partial differential equations require a lot of computing elements, but the number of computing elements may be reduced by employing time-sharing computation utilizing analog memory. The problem is presented here that it takes more computing time and that the memory error becomes a new source of error which increases the solution error. In this paper, the authors have taken up the equation of heat conduction as an example and calculated the speed of convergence and computing error in order to find standard values for this kind of problems, and then consider the appropriate number of division. Moreover, the authors have presented a new method of speeding up convergence and reducing error of time-sharing computation, and proved its effectiveness.
Date: 1963
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475463800403
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:5:y:1963:i:3:p:141-149
DOI: 10.1016/S0378-4754(63)80040-3
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().