Publications / SAND Report

Sensitivity Analyses for Monte Carlo Sampling-Based Particle Simulations

Bond, Stephen D.; Franke, Brian C.; Lehoucq, Richard B.; McKinley, Scott M.

Computational design-based optimization is a well-used tool in science and engineering. Our report documents the successful use of a particle sensitivity analysis for design-based optimization within Monte Carlo sampling-based particle simulation—a currently unavailable capability. Such a capability enables the particle simulation communities to go beyond forward simulation and promises to reduce the burden on overworked analysts by getting more done with less computation.