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@ -119,11 +119,11 @@ output timestep. The initial time could be the beginning of the
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simulation or the last output time; see the <I>ave</I> keyword for options.
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For the set of samples, the correlation value Cij is calculated as:
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</P>
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<PRE>Cij(delta) = <Vi(t)*Vj(t+delta)>
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<PRE>Cij(delta) = |Vi(t)*Vj(t+delta)|
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</PRE>
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<P>which is the correlation value between input values Vi and Vj,
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separated by time delta. Note that the second value Vj in the pair is
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always the one sampled at the later time. The <> brackets represent
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always the one sampled at the later time. The vertical bars represent
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an average over every pair of samples in the set that are separated by
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time delta. The maximum delta used is of size (<I>Nrepeat</I>-1)*<I>Nevery</I>.
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Thus the correlation between a pair of input values yields <I>Nrepeat</I>
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@ -106,11 +106,11 @@ output timestep. The initial time could be the beginning of the
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simulation or the last output time; see the {ave} keyword for options.
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For the set of samples, the correlation value Cij is calculated as:
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Cij(delta) = <Vi(t)*Vj(t+delta)> :pre
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Cij(delta) = |Vi(t)*Vj(t+delta)| :pre
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which is the correlation value between input values Vi and Vj,
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separated by time delta. Note that the second value Vj in the pair is
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always the one sampled at the later time. The <> brackets represent
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always the one sampled at the later time. The vertical bars represent
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an average over every pair of samples in the set that are separated by
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time delta. The maximum delta used is of size ({Nrepeat}-1)*{Nevery}.
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Thus the correlation between a pair of input values yields {Nrepeat}
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