GaussianConditional wrapper for arbitrary number of keys
parent
651f99925b
commit
114c86fc6b
|
|
@ -489,12 +489,17 @@ virtual class GaussianConditional : gtsam::JacobianFactor {
|
|||
GaussianConditional(size_t key, Vector d, Matrix R, size_t name1, Matrix S,
|
||||
size_t name2, Matrix T,
|
||||
const gtsam::noiseModel::Diagonal* sigmas);
|
||||
GaussianConditional(const vector<std::pair<gtsam::Key, Matrix>> terms,
|
||||
size_t nrFrontals, Vector d,
|
||||
const gtsam::noiseModel::Diagonal* sigmas);
|
||||
|
||||
// Constructors with no noise model
|
||||
GaussianConditional(size_t key, Vector d, Matrix R);
|
||||
GaussianConditional(size_t key, Vector d, Matrix R, size_t name1, Matrix S);
|
||||
GaussianConditional(size_t key, Vector d, Matrix R, size_t name1, Matrix S,
|
||||
size_t name2, Matrix T);
|
||||
GaussianConditional(const gtsam::KeyVector& keys, size_t nrFrontals,
|
||||
const gtsam::VerticalBlockMatrix& augmentedMatrix);
|
||||
|
||||
// Named constructors
|
||||
static gtsam::GaussianConditional FromMeanAndStddev(gtsam::Key key,
|
||||
|
|
|
|||
Loading…
Reference in New Issue