Title :
Guest Editors´ Introduction: Stochastic Modeling of Complex Systems
Author :
Tartakovsky, Daniel M. ; Dongbin Xiu
Author_Institution :
Univ. of California
Abstract :
This special issue of CiSE highlights various aspects of and outstanding problems in stochastic modeling of complex systems. The techniques covered include stochastic spectral methods, the information-theoretic approach, and sensitivity analysis for uncertainty quantification. Two application articles-one in the field of ecology and the other in the field of manufacturing design-emphasize the diversity of research disciplines in which the ability to handle uncertainty is crucial to obtaining reliable science-based predictions
Keywords :
design; ecology; environmental science computing; information theory; large-scale systems; manufacturing processes; sensitivity analysis; stochastic processes; complex systems; ecology; information theory; manufacturing design; sensitivity analysis; stochastic modelling; stochastic spectral methods; uncertainty quantification; Biological system modeling; Computational modeling; Information analysis; Power system modeling; Predictive models; Stochastic processes; Stochastic resonance; Stochastic systems; Uncertainty; Virtual manufacturing; dynamics; modeling; random; stochastic;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2007.32