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To get the gradient of the flow variable using the Green-Gauss Theorem, which of these theorems is used?

(a) Mean value theorem

(b) Stolarsky mean

(c) Racetrack principle

(d) Newmark-beta method

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Right choice is (a) Mean value theorem

Easy explanation: The Green-Gauss theorem states that for a closed volume V with the surrounding surface ∂V and outward pointing incremental surface vector d(vec{S}),

∫V ( ablaPhi dV=∮_{∂V} Phi dvec{S})

Using the mean value theorem,

∫V ∇ΦdV=(overline{ ablaPhi} V)

Where, (overline{ ablaPhi} V) is the average gradient over the volume V.

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