Update uncertainty_quantification.md

SciML · Dec 26, 2017 · 43ce407 · 43ce407
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 Uncertainty quantification allows a user to identify the uncertainty
 associated with the numerical approximation given by DifferentialEquations.jl.
 This page describes the different methods available for quantifying such
-uncertainties.
+uncertainties. Note that this requires one of the native Julia solvers like
+OrdinaryDiffEq.jl, StochasticDiffEq.jl, or DelayDiffEq.jl.
 
 ## ProbInts