A time series based dynamic prediction model for loess mudstone landslides.

For non-stationary signals such as cumulative displacement, which have a pronounced trend, the model adopts a quadratic penalty function and the alternating direction method of multipliers (ADMM) for iterative optimisation and sets a convergence tolerance to guarantee decomposition accuracy.

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