test_covariance_matrix.cc File Reference

#include <cstdlib>
#include <limits>
#include <random>
#include <utility>
#include "array.h"
#include "covariance_matrix.h"
#include "jacobian.h"
#include "lin_alg.h"
#include "test_utils.h"
#include "xml_io.h"
#include "invlib/algebra.h"
#include "invlib/interfaces/arts_wrapper.h"

Go to the source code of this file.

Typedefs
using	RetrievalData = std::tuple< ArrayOfRetrievalQuantity, ArrayOfArrayOfIndex >

Functions
template<typename F >
std::shared_ptr< Matrix >	create_covariance_matrix_1D (Index i, Index j, ArrayOfRetrievalQuantity jqs, F f)
	Create a block of a covariance matrix representating a correlation between the retrieval quantities i and j by applying the functional f to the grid positions of each of the retrieval grids. More...
template<typename F >
std::shared_ptr< Sparse >	create_sparse_covariance_matrix_1D (Index i, Index j, ArrayOfRetrievalQuantity jqs, F f)
	Same as create_covariance_matrix_1D but creates a matrix of type sparse. More...
RetrievalData	setup_retrieval_1D ()
	Setup a random retrieval case for testing. More...
CovarianceMatrix	random_covariance_matrix (const ArrayOfRetrievalQuantity &rqs, const ArrayOfArrayOfIndex &jis)
	Create a covariance matrix with correlations between retrieval quantitites given in rqs and jis. More...
Numeric	test_multiplication_by_vector (Index n_tests)
	Tests the multiplication of covariance matrices with vectors. More...
Numeric	test_multiplication_by_matrix (Index n_tests)
	Tests the multiplication of covariance matrices with matrices. More...
Numeric	test_inverse (Index n_tests)
	Tests the inversion of covariance matrices by computing the products of inverses of covariance matrices with matrices and vectors and comparing the result to what is obtained by performing these operations with an identical matrix of type Matrix. More...
Numeric	test_addition (Index n_tests)
	Test addition of covariance matrices and inverse covariance matrices. More...
Numeric	test_diagonal (Index n_tests)
	Test extraction of diagonal. More...
Numeric	test_io (Index n_tests)
	Test input and output of covariance matrices. More...
template<typename MatrixType >
void	covmat_seSet (CovarianceMatrix &covmat, const MatrixType &block, const Verbosity &)
template<typename MatrixType >
void	covmat_sxSet (CovarianceMatrix &covmat, const MatrixType &block, const Verbosity &)
template<typename MatrixType >
void	covmat_seAddBlock (CovarianceMatrix &covmat_se, const MatrixType &block, const Index &i, const Index &j, const Verbosity &)
template<typename MatrixType >
void	covmat_seAddInverseBlock (CovarianceMatrix &covmat_se, const MatrixType &block, const Index &i, const Index &j, const Verbosity &)
template<typename MatrixType >
void	covmat_sxAddBlock (CovarianceMatrix &covmat_se, const ArrayOfRetrievalQuantity &jq, const MatrixType &block, const Index &i, const Index &j, const Verbosity &)
template<typename MatrixType >
void	covmat_sxAddInverseBlock (CovarianceMatrix &covmat_se, const ArrayOfRetrievalQuantity &jq, const MatrixType &block, const Index &i, const Index &j, const Verbosity &)
void	test_workspace_methods ()
	Test general functionality of CovarianceMatrix class. More...
int	main ()

Typedef Documentation

RetrievalData

using RetrievalData = std::tuple<ArrayOfRetrievalQuantity, ArrayOfArrayOfIndex>

Definition at line 40 of file test_covariance_matrix.cc.

Function Documentation

covmat_seAddBlock()

template<typename MatrixType >

void covmat_seAddBlock	(	CovarianceMatrix &	covmat_se,
		const MatrixType &	block,
		const Index &	i,
		const Index &	j,
		const Verbosity &
	)

Definition at line 397 of file m_retrieval.cc.

References CovarianceMatrix::add_correlation(), covmat_seAddBlock(), CovarianceMatrix::get_block(), Block::get_column_range(), Range::get_extent(), Block::get_row_range(), CovarianceMatrix::has_block(), i, n, CovarianceMatrix::ndiagblocks(), CovarianceMatrix::nrows(), and Zeeman::start().

Referenced by covmat_seAddBlock(), covmat_seAddBlock_sg_Matrix_g(), covmat_seAddBlock_sg_Sparse_g(), and test_workspace_methods().

covmat_seAddInverseBlock()

template<typename MatrixType >

void covmat_seAddInverseBlock	(	CovarianceMatrix &	covmat_se,
		const MatrixType &	block,
		const Index &	i,
		const Index &	j,
		const Verbosity &
	)

Definition at line 490 of file m_retrieval.cc.

References CovarianceMatrix::add_correlation_inverse(), covmat_seAddInverseBlock(), CovarianceMatrix::get_block(), Block::get_column_range(), Block::get_row_range(), i, n, and CovarianceMatrix::ndiagblocks().

Referenced by covmat_seAddInverseBlock(), covmat_seAddInverseBlock_sg_Matrix_g(), covmat_seAddInverseBlock_sg_Sparse_g(), and test_workspace_methods().

covmat_seSet()

template<typename MatrixType >

void covmat_seSet	(	CovarianceMatrix &	covmat,
		const MatrixType &	block,
		const Verbosity &
	)

Definition at line 561 of file m_retrieval.cc.

References covmat_seSet(), and setCovarianceMatrix().

Referenced by covmat_seSet(), covmat_seSet_sg_CovarianceMatrix_g(), covmat_seSet_sg_Matrix_g(), covmat_seSet_sg_Sparse_g(), and test_workspace_methods().

covmat_sxAddBlock()

template<typename MatrixType >

void covmat_sxAddBlock	(	CovarianceMatrix &	covmat_se,
		const ArrayOfRetrievalQuantity &	jq,
		const MatrixType &	block,
		const Index &	i,
		const Index &	j,
		const Verbosity &
	)

Definition at line 599 of file m_retrieval.cc.

References CovarianceMatrix::add_correlation(), covmat_sxAddBlock(), jac_ranges_indices(), n, CovarianceMatrix::ndiagblocks(), Array< base >::nelem(), and _CS_basic_sstream_base< _CS_cT, _CS_Tr, _CS_Al >::str().

Referenced by covmat_sxAddBlock(), covmat_sxAddBlock_sg_Matrix_g(), covmat_sxAddBlock_sg_Sparse_g(), and test_workspace_methods().

covmat_sxAddInverseBlock()

template<typename MatrixType >

void covmat_sxAddInverseBlock	(	CovarianceMatrix &	covmat_se,
		const ArrayOfRetrievalQuantity &	jq,
		const MatrixType &	block,
		const Index &	i,
		const Index &	j,
		const Verbosity &
	)

Definition at line 678 of file m_retrieval.cc.

References CovarianceMatrix::add_correlation_inverse(), covmat_sxAddInverseBlock(), CovarianceMatrix::has_block(), jac_ranges_indices(), n, Array< base >::nelem(), and _CS_basic_sstream_base< _CS_cT, _CS_Tr, _CS_Al >::str().

Referenced by covmat_sxAddInverseBlock(), covmat_sxAddInverseBlock_sg_Matrix_g(), covmat_sxAddInverseBlock_sg_Sparse_g(), and test_workspace_methods().

covmat_sxSet()

template<typename MatrixType >

void covmat_sxSet	(	CovarianceMatrix &	covmat,
		const MatrixType &	block,
		const Verbosity &
	)

Definition at line 580 of file m_retrieval.cc.

References covmat_sxSet(), and setCovarianceMatrix().

Referenced by covmat_sxSet(), covmat_sxSet_sg_CovarianceMatrix_g(), covmat_sxSet_sg_Matrix_g(), covmat_sxSet_sg_Sparse_g(), and test_workspace_methods().

create_covariance_matrix_1D()

template<typename F >

std::shared_ptr<Matrix> create_covariance_matrix_1D	(	Index	i,
		Index	j,
		ArrayOfRetrievalQuantity	jqs,
		F	f
	)

Create a block of a covariance matrix representating a correlation between the retrieval quantities i and j by applying the functional f to the grid positions of each of the retrieval grids.

Parameters

i	The index of the first retrieval quantity
j	The index of the second retrieval quantity
jqs	The array holding the retrieval quantities.
f	The functional to apply to the correlated grid positions.

Returns

Shared pointer to the Matrix object representing the correlation relation.

Definition at line 55 of file test_covariance_matrix.cc.

References RetrievalQuantity::Grids(), q1, and swap().

Referenced by random_covariance_matrix().

create_sparse_covariance_matrix_1D()

template<typename F >

std::shared_ptr<Sparse> create_sparse_covariance_matrix_1D	(	Index	i,
		Index	j,
		ArrayOfRetrievalQuantity	jqs,
		F	f
	)

Same as create_covariance_matrix_1D but creates a matrix of type sparse.

Definition at line 82 of file test_covariance_matrix.cc.

References RetrievalQuantity::Grids(), ConstVectorView::nelem(), Absorption::nelem(), q1, and swap().

Referenced by random_covariance_matrix().

main()

int main

(

void

)

Definition at line 600 of file test_covariance_matrix.cc.

random_covariance_matrix()

CovarianceMatrix random_covariance_matrix	(	const ArrayOfRetrievalQuantity &	rqs,
		const ArrayOfArrayOfIndex &	jis
	)

Create a covariance matrix with correlations between retrieval quantitites given in rqs and jis.

Parameters

rqs	The array holding the retrieval quantities.
jis	The array holding the jacobian indices of the retrieval quantities.

Definition at line 163 of file test_covariance_matrix.cc.

References create_covariance_matrix_1D(), create_sparse_covariance_matrix_1D(), and i.

setup_retrieval_1D()

RetrievalData setup_retrieval_1D

(

)

Setup a random retrieval case for testing.

Returns

A RetrievalData object holding an array of retrieval quantities and jacobian indices.

Definition at line 120 of file test_covariance_matrix.cc.

References i, and Array< base >::nelem().

test_addition()

Numeric test_addition

(

Index

n_tests

)

Test addition of covariance matrices and inverse covariance matrices.

Parameters

n_tests

The number of tests to perform

Returns

The maximum error of the result with respect to the same operations performed using an identical matrix of type Matrix

Definition at line 319 of file test_covariance_matrix.cc.

test_diagonal()

Numeric test_diagonal

(

Index

n_tests

)

Test extraction of diagonal.

Parameters

n_tests

The number of tests to perform

Returns

The maximum error of the result with respect to the diagonal extracted from an identical matrix of type Matrix

Definition at line 354 of file test_covariance_matrix.cc.

test_inverse()

Numeric test_inverse

(

Index

n_tests

)

Tests the inversion of covariance matrices by computing the products of inverses of covariance matrices with matrices and vectors and comparing the result to what is obtained by performing these operations with an identical matrix of type Matrix.

Parameters

n_tests

The number of tests to perform

Returns

The maximum error of the result with respect to the same operations performed using an identical matrix of type Matrix

Definition at line 288 of file test_covariance_matrix.cc.

test_io()

Numeric test_io

(

Index

n_tests

)

Test input and output of covariance matrices.

Parameters

n_tests

The number of tests to perform

Returns

The maximum error of the original covariance matrix and a covariance that has been stored to xml format and reread.

Definition at line 376 of file test_covariance_matrix.cc.

test_multiplication_by_matrix()

Numeric test_multiplication_by_matrix

(

Index

n_tests

)

Tests the multiplication of covariance matrices with matrices.

Parameters

n_tests

The number of tests to perform

Returns

The maximum error of the result with respect to the same multiplication performed using an identical matrix of type Matrix

Definition at line 255 of file test_covariance_matrix.cc.

test_multiplication_by_vector()

Numeric test_multiplication_by_vector

(

Index

n_tests

)

Tests the multiplication of covariance matrices with vectors.

Parameters

n_tests

The number of tests to perform.

Returns

The maximum error of the result with respect to the same multiplication performed using an identical matrix of type Matrix

Definition at line 227 of file test_covariance_matrix.cc.

test_workspace_methods()

void test_workspace_methods

(

)

Test general functionality of CovarianceMatrix class.

Definition at line 442 of file test_covariance_matrix.cc.

References C, covmat_seAddBlock(), covmat_seAddInverseBlock(), covmat_seSet(), covmat_sxAddBlock(), covmat_sxAddInverseBlock(), covmat_sxSet(), CovarianceMatrix::ncols(), Sparse::resize(), and Matrix::resize().