System Stochasticity: Discrete Formulation with MathematicaGautam Dasgupta
Professor, Civil Engineering and Engineering Mechanics
600 Seeley W. Mudd
New York, NY 10027, USA
Material and geometrical randomness are depicted by the variability of numerical solutions. This second-order effect in response
cannot be faithfully captured unless the equilibrium equation is exactly satisfied. Hence engineering approximations of system
stochasticity demand higher accuracy than their deterministic counterparts.
Copyright © 2001 Wolfram Media, Inc. All rights reserved.