Monotonicity preserving refers to methods or processes that maintain the order of a sequence or set under transformation, crucial in numerical analysis, optimization, and approximation. Ensuring this property avoids the introduction of non-physical oscillations and inaccuracies in models and computations, which is vital for the reliability of simulations and data analyses.