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docs/paper.md

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@@ -68,7 +68,7 @@ ESMDA coefficient (or inflation factor) is denoted by $\alpha$, and the
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predicted and perturbed data vectors by $d^f$ and $d_{\text{uc}}$,
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respectively. The equation is evaluated for $i$ data assimilation steps, where
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$i$ is typically a low number between 4-10. The $\alpha$ can change in each
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step, as long as $\sum_i \frac{1}{\alpha_i} = 1. Common are either constant
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step, as long as $\sum_i \frac{1}{\alpha_i} = 1$. Common are either constant
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values or series of decreasing values. The algorithm's implementation in
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`dageo` includes optimizations for computational efficiency and numerical
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stability.

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