improved GaussianConditional docstring
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@ -31,8 +31,10 @@ namespace gtsam {
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/**
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* A GaussianConditional functions as the node in a Bayes network.
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* It has a set of parents y,z, etc. and implements a probability density on x.
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* It has a set of parents y,z, etc. and implements a Gaussian probability density p(x | y, z) on x.
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* The negative log-density is given by \f$ \frac{1}{2} |Rx - (d - Sy - Tz - ...)|^2 \f$
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* The mean of the conditional density is \f$ R^{-1}(d - Sy - Tz - ...) \f$.
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* The covariance of the conditional density is given by the noise model and is constrained to be diagonal.
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* @ingroup linear
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*/
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class GTSAM_EXPORT GaussianConditional :
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