Stochastic versus deterministic

G.S. Ladde and M. Sambandham

Mathematics and Computers in Simulation (MATCOM), 1982, vol. 24, issue 6, 507-514

Abstract: One of the fundamental problems in stochastic modeling of dynamic systems is to what extent the study of stochastic analysis differs with corresponding deterministic analysis. This work focuses the attention of finding estimates on the variation of stochastic solutions and the corresponding solution of the mean of the dynamic system. This is analyzed in the context of random polynomials and differential equations. Certain analytic and computational study is made with regard to random differential equations and algebraic polynomials.

Date: 1982
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0378475482906516
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:24:y:1982:i:6:p:507-514

DOI: 10.1016/0378-4754(82)90651-6

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 ().