Fixed code comment
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@ -103,8 +103,7 @@ namespace gtsam {
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* \right\Vert^2 \f$, centered around zero. The gradient about zero is \f$ -R^T d \f$. See also
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* gradient(const GaussianBayesNet&, const VectorValues&).
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*
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* @param [output] g A VectorValues to store the gradient, which must be preallocated, see
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* allocateVectorValues */
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* @return A VectorValues storing the gradient. */
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VectorValues gradientAtZero() const;
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/** Mahalanobis norm error. */
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