dysii Probability Distributions Test Suite: test7.cpp File Reference

This test creates a random multivariate Gaussian mixture with components distributed across several nodes. It goes on to test the various distributed methods to ensure invariance of the distribution under these manipulations.

2: 0 components, 0 weight
0: 50 components, 28.0715 weight

1: 0 components, 0 weight
3: 0 components, 0 weight
redistributeBySize() failed, difference is:
[10](-5.55112e-17,0,-3.33067e-16,0,1.17961e-16,0,1.52656e-16,4.85723e-17,0,-2.77556e-17)
[10,10]((8.88178e-16,-2.22045e-16,0,2.22045e-16,0,-4.44089e-16,2.22045e-16,0,-2.22045e-16,-3.33067e-16),(-2.22045e-16,-3.55271e-15,0,-1.11022e-16,4.44089e-16,-1.11022e-16,-2.77556e-17,1.77636e-15,-8.88178e-16,0),(0,0,-8.88178e-16,2.22045e-16,3.33067e-16,8.88178e-16,0,2.22045e-16,2.22045e-16,-2.22045e-16),(2.22045e-16,-1.11022e-16,2.22045e-16,-3.55271e-15,1.11022e-16,-1.11022e-15,-1.11022e-16,2.22045e-16,0,-6.66134e-16),(0,4.44089e-16,3.33067e-16,1.11022e-16,-1.77636e-15,-4.44089e-16,-1.11022e-16,4.44089e-16,6.66134e-16,0),(-4.44089e-16,-1.11022e-16,8.88178e-16,-1.11022e-15,-4.44089e-16,1.77636e-15,6.66134e-16,-2.22045e-16,-1.11022e-16,1.11022e-16),(2.22045e-16,-2.77556e-17,0,-1.11022e-16,-1.11022e-16,6.66134e-16,0,4.44089e-16,-2.77556e-16,4.44089e-16),(0,1.77636e-15,2.22045e-16,2.22045e-16,4.44089e-16,-2.22045e-16,4.44089e-16,0,2.22045e-16,4.44089e-16),(-2.22045e-16,-8.88178e-16,2.22045e-16,0,6.66134e-16,-1.11022e-16,-2.77556e-16,2.22045e-16,-4.44089e-15,1.11022e-16),(-3.33067e-16,0,-2.22045e-16,-6.66134e-16,0,1.11022e-16,4.44089e-16,4.44089e-16,1.11022e-16,3.55271e-15))

0: 13 components, 7.25074 weight

3: 12 components, 6.91111 weight
1: 13 components, 7.36847 weight
2: 12 components, 6.54116 weight
redistributeByWeight() failed, difference is:
[10](-5.55112e-17,5.55112e-17,-3.33067e-16,0,1.17961e-16,0,1.52656e-16,4.85723e-17,0,-2.77556e-17)
[10,10]((8.88178e-16,-2.22045e-16,0,2.22045e-16,-1.11022e-16,-4.44089e-16,2.22045e-16,0,-2.22045e-16,-3.33067e-16),(-2.22045e-16,-3.55271e-15,1.11022e-16,-5.55112e-17,4.44089e-16,-1.66533e-16,-2.77556e-17,1.77636e-15,-4.44089e-16,0),(0,1.11022e-16,-8.88178e-16,2.22045e-16,4.44089e-16,6.66134e-16,0,2.22045e-16,4.71845e-16,-2.22045e-16),(2.22045e-16,-5.55112e-17,2.22045e-16,-5.32907e-15,1.11022e-16,-1.11022e-15,-1.11022e-16,2.22045e-16,-1.66533e-16,-8.88178e-16),(-1.11022e-16,4.44089e-16,4.44089e-16,1.11022e-16,-1.77636e-15,-4.44089e-16,-1.11022e-16,4.44089e-16,6.66134e-16,0),(-4.44089e-16,-1.66533e-16,6.66134e-16,-1.11022e-15,-4.44089e-16,0,6.66134e-16,-2.22045e-16,-1.11022e-16,0),(2.22045e-16,-2.77556e-17,0,-1.11022e-16,-1.11022e-16,6.66134e-16,0,4.44089e-16,-2.77556e-16,4.44089e-16),(0,1.77636e-15,2.22045e-16,2.22045e-16,4.44089e-16,-2.22045e-16,4.44089e-16,0,2.22045e-16,6.66134e-16),(-2.22045e-16,-4.44089e-16,4.71845e-16,-1.66533e-16,6.66134e-16,-1.11022e-16,-2.77556e-16,2.22045e-16,-4.44089e-15,1.11022e-16),(-3.33067e-16,0,-2.22045e-16,-8.88178e-16,0,0,4.44089e-16,6.66134e-16,1.11022e-16,3.55271e-15))

0: 13 components, 7.25074 weight

3: 12 components, 6.91111 weight
1: 12 components, 7.24978 weight
2: 13 components, 6.65985 weight
rotate() failed, difference is:
[10](0,0,0,0,1.38778e-17,2.22045e-16,-2.77556e-17,0,0,0)
[10,10]((0,2.22045e-16,2.22045e-16,0,1.11022e-16,2.22045e-16,0,5.55112e-17,-2.22045e-16,0),(2.22045e-16,1.77636e-15,0,0,0,-1.11022e-16,2.77556e-17,0,-4.44089e-16,0),(2.22045e-16,0,0,0,0,-2.22045e-16,0,0,0,-2.22045e-16),(0,0,0,1.77636e-15,0,0,2.77556e-17,-2.22045e-16,1.66533e-16,2.22045e-16),(1.11022e-16,0,0,0,0,2.22045e-16,0,0,0,-4.44089e-16),(2.22045e-16,-1.11022e-16,-2.22045e-16,0,2.22045e-16,0,-2.22045e-16,0,-5.55112e-17,-5.55112e-17),(0,2.77556e-17,0,2.77556e-17,0,-2.22045e-16,0,0,1.11022e-16,0),(5.55112e-17,0,0,-2.22045e-16,0,0,0,0,0,-2.22045e-16),(-2.22045e-16,-4.44089e-16,0,1.66533e-16,0,-5.55112e-17,1.11022e-16,0,-8.88178e-16,0),(0,0,-2.22045e-16,2.22045e-16,-4.44089e-16,-5.55112e-17,0,-2.22045e-16,0,1.77636e-15))

0: 12 components, 7.24978 weight

1: 13 components, 6.65985 weight
2: 12 components, 6.91111 weight
3: 13 components, 7.25074 weight
distributedNormalise() failed, difference is:
[10](0,-1.66533e-16,-1.11022e-16,-1.11022e-16,-7.63278e-17,-2.22045e-16,0,-1.11022e-16,-1.11022e-16,8.32667e-17)
[10,10]((-1.77636e-15,-2.22045e-16,0,0,-4.44089e-16,-6.66134e-16,0,-2.22045e-16,4.44089e-16,-3.33067e-16),(-2.22045e-16,0,-3.33067e-16,2.22045e-16,2.22045e-16,3.88578e-16,-1.11022e-16,-8.88178e-16,0,-4.44089e-16),(0,-3.33067e-16,-8.88178e-16,0,-2.22045e-16,6.66134e-16,0,-6.66134e-16,-2.77556e-17,2.22045e-16),(0,2.22045e-16,0,0,-2.22045e-16,6.66134e-16,2.22045e-16,1.11022e-16,-2.77556e-16,2.22045e-16),(-4.44089e-16,2.22045e-16,-2.22045e-16,-2.22045e-16,-1.77636e-15,4.44089e-16,2.22045e-16,2.22045e-16,2.22045e-16,2.22045e-16),(-6.66134e-16,3.88578e-16,6.66134e-16,6.66134e-16,4.44089e-16,-1.77636e-15,0,2.22045e-16,1.66533e-16,6.66134e-16),(0,-1.11022e-16,0,2.22045e-16,2.22045e-16,0,-1.77636e-15,-8.88178e-16,0,-8.88178e-16),(-2.22045e-16,-8.88178e-16,-6.66134e-16,1.11022e-16,2.22045e-16,2.22045e-16,-8.88178e-16,1.77636e-15,2.22045e-16,0),(4.44089e-16,0,-2.77556e-17,-2.77556e-16,2.22045e-16,1.66533e-16,0,2.22045e-16,0,1.11022e-16),(-3.33067e-16,-4.44089e-16,2.22045e-16,2.22045e-16,2.22045e-16,6.66134e-16,-8.88178e-16,0,1.11022e-16,-3.55271e-15))

0: 12 components, 0.258261 weight
1: 13 components, 0.237246 weight
2: 12 components, 0.246197 weight
3: 13 components, 0.258296 weight

Go to the source code of this file.


Functions
aux::GaussianPdf	createRandomGaussian (const unsigned int M, const double minMean=-5.0, const double maxMean=5.0, const double minCov=0.0, const double maxCov=5.0)
	Create random Gaussian distribution.
bool	isZero (const aux::vector &x)
	Determines whether a vector is the zero vector.
bool	isZero (const aux::matrix &A)
	Determine whether a matrix is the zero matrix.
int	main (int argc, char *argv[])
	Run tests.
Variables
unsigned int	M = 10
	Dimensionality of the Gaussian mixture.
unsigned int	COMPONENTS = 50
	Number of components in the Gaussian mixture.
unsigned int	N = 10000
	Number of samples to take.

Function Documentation

aux::GaussianPdf createRandomGaussian	(	const unsigned int	M,
		const double	minMean = `-5.0`,
		const double	maxMean = `5.0`,
		const double	minCov = `0.0`,
		const double	maxCov = `5.0`
	)

Create random Gaussian distribution.

Parameters:

	M	Dimensionality of the Gaussian.
	minMean	Minimum value of any component of the mean.
	maxMean	Maximum value of any component of the mean.
	minCov	Minimum value of any component of the covariance.
	maxCov	Maximum value of any component of the covariance.

Returns:: Gaussian with given dimensionality, with mean and covariance randomly generated uniformly from within the given bounds.

Definition at line 62 of file test7.cpp.

test7.cpp File Reference

Detailed Description

Functions

Variables

Function Documentation

Variable Documentation