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Glaziou edited section_Estimation_of_uncertainty_There__.tex
over 8 years ago
Commit id: 908a39eecb5f659fa6959b4910472531399c4b03
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First-order variance: $\sigma^2_y=\nabla_x C_x \nabla^T_x=\left(\sum_{i=1}^{2}\frac{\partial{f}}{\partial{x_i}}\sigma_i\right)^2$
The first order Taylor expansion assumes linearity over $\bar
{x_i}$, {x_i}$. We used second-order
expansion corrects expansions to correct for bias in non-linear expressions. This approach was
used implemented whenever possible to shorten computing time.