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Sensitivity analysis based on the FAST method

Liu, Q.

FAST (Fourier Amplitude Sensitivity Test) is the earliest global sensitivity analysis method aiming at quantifying the contribution of the uncertainties in the model inputs to the uncertainty in the model output. The mechanism of FAST is to assign each model input with a characteristic frequency through a periodic search function. Then, for a specific model input, its contribution to the variance of the model output can be singled out by the characteristic frequency based on fourier analysis. FAST is computationally very efficient and is used widespread nowadays. In this work, the theory and the computational method of FAST are described in detail. It is hoped that this work will promote the application of FAST in the field of decision-making under uncertainty.

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