Definition

Concept providing functions to extract eigenvectors and eigenvalue from covariance matrices represented by an array a as follows:

$\begin{bmatrix} a[0] & a[1] & a[2] \\ a[1] & a[3] & a[4] \\ a[2] & a[4] & a[5] \\ \end{bmatrix}$

Static Public Member Functions
static bool	diagonalize_selfadjoint_covariance_matrix (const cpp11::array< double, 6 > &cov, cpp11::array< double, 3 > &eigenvalues)
	fill `eigenvalues` with the eigenvalues of the covariance matrix represented by `cov`. More...

static bool	extract_largest_eigenvector_of_covariance_matrix (const cpp11::array< double, 6 > &cov, cpp11::array< double, 3 > &normal)
	Extract the eigenvector associated to the largest eigenvalue of the covariance matrix represented by `cov`. More...

Member Function Documentation

static bool VCMTraits::diagonalize_selfadjoint_covariance_matrix	(	const cpp11::array< double, 6 > &	cov,
		cpp11::array< double, 3 > &	eigenvalues
	)

static

fill eigenvalues with the eigenvalues of the covariance matrix represented by cov.

Eigenvalues are sorted by increasing order.

static bool VCMTraits::extract_largest_eigenvector_of_covariance_matrix	(	const cpp11::array< double, 6 > &	cov,
		cpp11::array< double, 3 > &	normal
	)

static

Extract the eigenvector associated to the largest eigenvalue of the covariance matrix represented by cov.