Unit tests for Conditional gaussian. More...

#include <CppUnitLite/TestHarness.h>
#include <gtsam/base/TestableAssertions.h>
#include <gtsam/base/Matrix.h>
#include <gtsam/base/VerticalBlockMatrix.h>
#include <gtsam/inference/Symbol.h>
#include <gtsam/linear/JacobianFactor.h>
#include <gtsam/linear/GaussianConditional.h>
#include <gtsam/linear/GaussianDensity.h>
#include <gtsam/linear/GaussianBayesNet.h>
#include <gtsam/hybrid/HybridValues.h>
#include <iostream>
#include <sstream>
#include <vector>

Include dependency graph for testGaussianConditional.cpp:

Go to the source code of this file.

Namespaces
	density

Typedefs
using	Dims = std::vector< Eigen::Index >

Functions
int	main ()

	TEST (GaussianConditional, constructor)

	TEST (GaussianConditional, equals)

	TEST (GaussianConditional, Evaluate1)

	TEST (GaussianConditional, Evaluate2)

	TEST (GaussianConditional, solve)

	TEST (GaussianConditional, solve_simple)

	TEST (GaussianConditional, solve_multifrontal)

	TEST (GaussianConditional, solveTranspose)

	TEST (GaussianConditional, information)

	TEST (GaussianConditional, isGaussianFactor)

	TEST (GaussianConditional, FromMeanAndStddev)

	TEST (GaussianConditional, likelihood)

	TEST (GaussianConditional, sample)

	TEST (GaussianConditional, Error)

	TEST (GaussianConditional, LogNormalizationConstant)

	TEST (GaussianConditional, Print)

Variables
static const Key	density::key = 77

static Matrix	R

static constexpr double	density::sigma = 3.0

static const double	tol = 1e-5

static const auto	density::unitPrior

static const auto	density::widerPrior

Detailed Description

Unit tests for Conditional gaussian.

Author: Christian Potthast

Definition in file testGaussianConditional.cpp.

Typedef Documentation

◆ Dims

using Dims = std::vector<Eigen::Index>

Definition at line 46 of file testGaussianConditional.cpp.

Function Documentation

◆ main()

int main ( void )

Definition at line 553 of file testGaussianConditional.cpp.

◆ TEST() [1/16]

TEST	(	GaussianConditional	,
		constructor
	)

Definition at line 49 of file testGaussianConditional.cpp.

◆ TEST() [2/16]

TEST	(	GaussianConditional	,
		equals
	)

Definition at line 100 of file testGaussianConditional.cpp.

◆ TEST() [3/16]

TEST	(	GaussianConditional	,
		Evaluate1
	)

Definition at line 139 of file testGaussianConditional.cpp.

◆ TEST() [4/16]

TEST	(	GaussianConditional	,
		Evaluate2
	)

Definition at line 178 of file testGaussianConditional.cpp.

◆ TEST() [5/16]

TEST	(	GaussianConditional	,
		solve
	)

Definition at line 210 of file testGaussianConditional.cpp.

◆ TEST() [6/16]

TEST	(	GaussianConditional	,
		solve_simple
	)

Definition at line 243 of file testGaussianConditional.cpp.

◆ TEST() [7/16]

TEST	(	GaussianConditional	,
		solve_multifrontal
	)

Definition at line 275 of file testGaussianConditional.cpp.

◆ TEST() [8/16]

TEST	(	GaussianConditional	,
		solveTranspose
	)

create small Chordal Bayes Net x <- y x y d 1 1 9 1 5

Definition at line 310 of file testGaussianConditional.cpp.

◆ TEST() [9/16]

TEST	(	GaussianConditional	,
		information
	)

Definition at line 342 of file testGaussianConditional.cpp.

◆ TEST() [10/16]

TEST	(	GaussianConditional	,
		isGaussianFactor
	)

Definition at line 363 of file testGaussianConditional.cpp.

◆ TEST() [11/16]

TEST	(	GaussianConditional	,
		FromMeanAndStddev
	)

Definition at line 387 of file testGaussianConditional.cpp.

◆ TEST() [12/16]

TEST	(	GaussianConditional	,
		likelihood
	)

Definition at line 417 of file testGaussianConditional.cpp.

◆ TEST() [13/16]

TEST	(	GaussianConditional	,
		sample
	)

Definition at line 444 of file testGaussianConditional.cpp.

◆ TEST() [14/16]

TEST	(	GaussianConditional	,
		Error
	)

Definition at line 472 of file testGaussianConditional.cpp.

◆ TEST() [15/16]

TEST	(	GaussianConditional	,
		LogNormalizationConstant
	)

Definition at line 489 of file testGaussianConditional.cpp.

◆ TEST() [16/16]

TEST	(	GaussianConditional	,
		Print
	)

Definition at line 502 of file testGaussianConditional.cpp.

Variable Documentation

◆ R

Matrix R

static

Initial value:

= (Matrix(2, 2) <<
    -12.1244,  -5.1962,
          0.,   4.6904).finished()

Definition at line 42 of file testGaussianConditional.cpp.

◆ tol

const double tol = 1e-5