testGaussianBayesNet.cpp File Reference

Unit tests for GaussianBayesNet. More...

#include <gtsam/linear/GaussianBayesNet.h>
#include <gtsam/linear/GaussianDensity.h>
#include <gtsam/linear/JacobianFactor.h>
#include <gtsam/linear/GaussianFactorGraph.h>
#include <gtsam/base/Testable.h>
#include <gtsam/base/numericalDerivative.h>
#include <gtsam/inference/Symbol.h>
#include <CppUnitLite/TestHarness.h>
#include <iostream>
#include <sstream>

Include dependency graph for testGaussianBayesNet.cpp:

Go to the source code of this file.

Namespaces
	sampling

Functions
int	main ()
	TEST (GaussianBayesNet, backSubstituteTranspose)
	TEST (GaussianBayesNet, backSubstituteTransposeNoisy)
	TEST (GaussianBayesNet, ComputeSteepestDescentPoint)
	TEST (GaussianBayesNet, DeterminantTest)
	TEST (GaussianBayesNet, Dot)
	TEST (GaussianBayesNet, Evaluate1)
	TEST (GaussianBayesNet, Evaluate2)
	TEST (GaussianBayesNet, Matrix)
	TEST (GaussianBayesNet, MatrixStress)
	TEST (GaussianBayesNet, MonteCarloIntegration)
	TEST (GaussianBayesNet, NoisyMatrix)
	TEST (GaussianBayesNet, NoisyOptimize)
	TEST (GaussianBayesNet, Optimize)
	TEST (GaussianBayesNet, optimize3)
	TEST (GaussianBayesNet, optimizeIncomplete)
	TEST (GaussianBayesNet, ordering)
	TEST (GaussianBayesNet, sample)

Variables
static const Key	_x_ = 11
static const Key	_y_ = 22
static const Key	_z_ = 33
static Matrix	sampling::A1 = (Matrix(2, 2) << 1., 2., 3., 4.).finished()
static const Vector2	sampling::b (10, 10)
static const GaussianBayesNet	sampling::gbn
static const Vector2	sampling::mean (20, 40)
static GaussianBayesNet	noisyBayesNet
static const double	sampling::sigma = 0.01
static GaussianBayesNet	smallBayesNet

Detailed Description

Unit tests for GaussianBayesNet.

Author

Frank Dellaert

Definition in file testGaussianBayesNet.cpp.

Function Documentation

main()

int main

(

)

Definition at line 385 of file testGaussianBayesNet.cpp.

TEST() [1/17]

TEST	(	GaussianBayesNet	,
		backSubstituteTranspose
	)

Definition at line 240 of file testGaussianBayesNet.cpp.

TEST() [2/17]

TEST	(	GaussianBayesNet	,
		backSubstituteTransposeNoisy
	)

Definition at line 259 of file testGaussianBayesNet.cpp.

TEST() [3/17]

TEST	(	GaussianBayesNet	,
		ComputeSteepestDescentPoint
	)

Definition at line 308 of file testGaussianBayesNet.cpp.

TEST() [4/17]

TEST	(	GaussianBayesNet	,
		DeterminantTest
	)

Definition at line 278 of file testGaussianBayesNet.cpp.

TEST() [5/17]

TEST	(	GaussianBayesNet	,
		Dot
	)

Definition at line 362 of file testGaussianBayesNet.cpp.

TEST() [6/17]

TEST	(	GaussianBayesNet	,
		Evaluate1
	)

Definition at line 66 of file testGaussianBayesNet.cpp.

TEST() [7/17]

TEST	(	GaussianBayesNet	,
		Evaluate2
	)

Definition at line 89 of file testGaussianBayesNet.cpp.

TEST() [8/17]

TEST	(	GaussianBayesNet	,
		Matrix
	)

Definition at line 50 of file testGaussianBayesNet.cpp.

TEST() [9/17]

TEST	(	GaussianBayesNet	,
		MatrixStress
	)

Definition at line 220 of file testGaussianBayesNet.cpp.

TEST() [10/17]

TEST	(	GaussianBayesNet	,
		MonteCarloIntegration
	)

Definition at line 196 of file testGaussianBayesNet.cpp.

TEST() [11/17]

TEST	(	GaussianBayesNet	,
		NoisyMatrix
	)

Definition at line 100 of file testGaussianBayesNet.cpp.

TEST() [12/17]

TEST	(	GaussianBayesNet	,
		NoisyOptimize
	)

Definition at line 123 of file testGaussianBayesNet.cpp.

TEST() [13/17]

TEST	(	GaussianBayesNet	,
		Optimize
	)

Definition at line 115 of file testGaussianBayesNet.cpp.

TEST() [14/17]

TEST	(	GaussianBayesNet	,
		optimize3
	)

Definition at line 150 of file testGaussianBayesNet.cpp.

TEST() [15/17]

TEST	(	GaussianBayesNet	,
		optimizeIncomplete
	)

Definition at line 133 of file testGaussianBayesNet.cpp.

TEST() [16/17]

TEST	(	GaussianBayesNet	,
		ordering
	)

Definition at line 212 of file testGaussianBayesNet.cpp.

TEST() [17/17]

TEST	(	GaussianBayesNet	,
		sample
	)

Definition at line 177 of file testGaussianBayesNet.cpp.

Variable Documentation

_x_

const Key _x_ = 11

static

Definition at line 37 of file testGaussianBayesNet.cpp.

_y_

const Key _y_ = 22

static

Definition at line 37 of file testGaussianBayesNet.cpp.

_z_

const Key _z_ = 33

static

Definition at line 37 of file testGaussianBayesNet.cpp.

noisyBayesNet

GaussianBayesNet noisyBayesNet

static

Initial value:

= {
    std::make_shared<GaussianConditional>(_x_, Vector1::Constant(9), I_1x1, _y_, I_1x1,
                        noiseModel::Isotropic::Sigma(1, 2.0)),
    std::make_shared<GaussianConditional>(_y_, Vector1::Constant(5), I_1x1,
                        noiseModel::Isotropic::Sigma(1, 3.0))}

Definition at line 43 of file testGaussianBayesNet.cpp.

smallBayesNet

GaussianBayesNet smallBayesNet

static

Initial value:

= {
    std::make_shared<GaussianConditional>(_x_, Vector1::Constant(9), I_1x1, _y_, I_1x1),
    std::make_shared<GaussianConditional>(_y_, Vector1::Constant(5), I_1x1)}

Definition at line 39 of file testGaussianBayesNet.cpp.