On joint probability density functions of discrete time iterative processes.

DOI10.1016/S0378-4754(03)00093-4zbMath1042.65048OpenAlexW2005341255MaRDI QIDQ1418592

Bonita A. Lawrence, Gangaram S. Ladde

Publication date: 14 January 2004

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-4754(03)00093-4

zbMATH Keywords

algorithmnumerical examplesLiouville's theoremnonlinear non-stationary systemsdiscrete-time iterative process with random parametersmarginal probability density function

Mathematics Subject Classification ID

Related Items (1)

Qualitative properties of stochastic iterative processes under random structural perturbations

Cites Work

• The numerical solution of random initial-value problems
• Random differential equations in science and engineering
• Dynamical systems with a large number of degrees of freedom: A stochastic mathematical analysis for a class of deterministic problems
• The Method of Non-linear Variation of Constants for Difference Equations
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