Monte Carlo methods have become a cornerstone in nuclear systems analysis, particularly for sensitivity studies, which determine how variations in nuclear data can affect key reactor parameters. These ...
Borgonovo, Emanuele, Marco Pangallo, Jan Rivkin, Leonardo Rizzo, and Nicolaj Siggelkow. "Sensitivity Analysis of Agent-based Models: A New Protocol." Computational and Mathematical Organization Theory ...
Sensitivity analysis helps predict outcomes by varying key variables in financial models. It simplifies complex models, aids in understanding variable effects, and reduces uncertainty. This analysis ...
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