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@ -87,18 +87,44 @@ class GTSAM_EXPORT HybridGaussianConditional
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const DiscreteKey &mode,
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const std::vector<GaussianConditional::shared_ptr> &conditionals);
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/// Construct from mean `mu_i` and `sigma_i`.
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/**
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* @brief Constructs a HybridGaussianConditional with means mu_i and
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* standard deviations sigma_i.
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*
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* @param mode The discrete mode key.
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* @param key The key for this conditional variable.
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* @param parameters A vector of pairs (mu_i, sigma_i).
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*/
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HybridGaussianConditional(
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const DiscreteKey &mode, Key key, //
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const DiscreteKey &mode, Key key,
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const std::vector<std::pair<Vector, double>> ¶meters);
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/// Construct from conditional mean `A1 p1 + b_i` and `sigma_i`.
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/**
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* @brief Constructs a HybridGaussianConditional with conditional means
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* A × parent + b_i and standard deviations sigma_i.
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*
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* @param mode The discrete mode key.
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* @param key The key for this conditional variable.
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* @param A The matrix A.
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* @param parent The key of the parent variable.
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* @param parameters A vector of pairs (b_i, sigma_i).
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*/
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HybridGaussianConditional(
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const DiscreteKey &mode, Key key, //
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const Matrix &A, Key parent,
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const DiscreteKey &mode, Key key, const Matrix &A, Key parent,
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const std::vector<std::pair<Vector, double>> ¶meters);
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/// Construct from conditional mean `A1 p1 + A2 p2 + b_i` and `sigma_i`.
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/**
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* @brief Constructs a HybridGaussianConditional with conditional means
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* A1 × parent1 + A2 × parent2 + b_i and standard deviations sigma_i.
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*
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* @param mode The discrete mode key.
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* @param key The key for this conditional variable.
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* @param A1 The first matrix.
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* @param parent1 The key of the first parent variable.
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* @param A2 The second matrix.
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* @param parent2 The key of the second parent variable.
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* @param parameters A vector of pairs (b_i, sigma_i).
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*/
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HybridGaussianConditional(
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const DiscreteKey &mode, Key key, //
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const Matrix &A1, Key parent1, const Matrix &A2, Key parent2,
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