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gtsam
linear
GaussianConditional-inl.h
Go to the documentation of this file.
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/* ----------------------------------------------------------------------------
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* GTSAM Copyright 2010, Georgia Tech Research Corporation,
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* Atlanta, Georgia 30332-0415
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* All Rights Reserved
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* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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* See LICENSE for the license information
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* -------------------------------------------------------------------------- */
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// \callgraph
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#pragma once
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namespace
gtsam
{
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/* ************************************************************************* */
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template
<
typename
TERMS>
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GaussianConditional::GaussianConditional
(
const
TERMS& terms,
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size_t
nrFrontals,
const
Vector
&
d
,
const
SharedDiagonal
&
sigmas
) :
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BaseFactor
(terms, d, sigmas),
BaseConditional
(nrFrontals) {}
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/* ************************************************************************* */
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template
<
typename
KEYS>
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GaussianConditional::GaussianConditional
(
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const
KEYS&
keys
,
size_t
nrFrontals
,
const
VerticalBlockMatrix
& augmentedMatrix,
const
SharedDiagonal
&
sigmas
) :
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BaseFactor
(keys, augmentedMatrix, sigmas),
BaseConditional
(nrFrontals) {}
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}
// gtsam
test_docs.d
d
Definition:
test_docs.py:28
gtsam::VerticalBlockMatrix
Definition:
VerticalBlockMatrix.h:41
gtsam::Conditional< JacobianFactor, GaussianConditional >::nrFrontals
size_t nrFrontals() const
Definition:
Conditional.h:85
gtsam::GaussianConditional::GaussianConditional
GaussianConditional()
Definition:
GaussianConditional.h:47
gtsam::Vector
Eigen::VectorXd Vector
Definition:
Vector.h:38
gtsam::Conditional
Definition:
Conditional.h:40
gtsam::JacobianFactor
Definition:
JacobianFactor.h:90
gtsam::SharedDiagonal
noiseModel::Diagonal::shared_ptr SharedDiagonal
Definition:
NoiseModel.h:736
gtsam
traits
Definition:
chartTesting.h:28
gtsam::Factor::keys
const KeyVector & keys() const
Access the factor's involved variable keys.
Definition:
Factor.h:124
exampleQR::sigmas
Vector sigmas
Definition:
testNoiseModel.cpp:214
gtsam
Author(s):
autogenerated on Sat May 8 2021 02:42:05