Social Sciences › Sciences de la décision › Statistiques, probabilités et incertitude › Conception d'ingénierie probabiliste et robuste

Conception d'ingénierie probabiliste et robuste

This cluster of papers focuses on uncertainty quantification and sensitivity analysis in complex mathematical and computational models. It explores methods such as polynomial chaos, Monte Carlo simulation, and sparse grids to assess and manage uncertainties in various engineering and scientific applications. The research also delves into topics like global sensitivity indices, reliability analysis, stochastic differential equations, and probabilistic design optimization.

Questions & réponses

Aucune question publiée pour cette rubrique. Posez la première ci-dessous.