sparsematrix Module Reference

Data Types
interface	assignment(=)
interface	operator(*)
interface	operator(+)
interface	operator(-)
interface	operator(.abs.)
interface	operator(.comm.)
interface	operator(.compr.)
interface	operator(.tr.)
type	sparse_matrix

Functions/Subroutines
subroutine	mat2sparse (sp, mat)
	Convert a normal matrix into a sparse matrix. More...
subroutine	sparse2mat (mat, sp)
	Convert sparse matrix into a normal one. More...
subroutine	sparse2sparse (spout, spin)
	Copy the data of one sparse matrix into another. More...
type(sparse_matrix) function	sp_neg (a)
	Return the negative of the given matrix. More...
type(sparse_matrix) function	sp_abs (a)
type(sparse_matrix) function	sum_sparse (a, b)
	Returns the sum of the two sparse matrices. More...
type(sparse_matrix) function	sub_sparse (a, b)
	Returns the difference between two matrices. More...
type(sparse_matrix) function	trans_matrix (a)
	Returns a transposed sparse matrix. More...
type(sparse_matrix) function	mul_sparse (a, b)
	Returns the product of two sparse matrices. More...
type(sparse_matrix) function	mul_sparse_num (num, a)
type(sparse_matrix) function	sp_compr (a)
	Returns the given matrix, taking out the zero-values. More...
type(sparse_matrix) function	commute_sparse (a, b)
	Returns the commutator of two sparse matrices. More...
real function, dimension(sp%nr)	mul_sparse_vcol (sp, vin)
	Mutiplies a sparse matrix by a column-vector. More...
real function, dimension(sp%nc)	mul_sparse_vrow (vin, sp)
	Multipiles a row-vector by a sparse matrix. More...

Function/Subroutine Documentation

commute_sparse()

type(sparse_matrix) function sparsematrix::commute_sparse	(	type(sparse_matrix), intent(in)	a,
		type(sparse_matrix), intent(in)	b
	)

Returns the commutator of two sparse matrices.

mat2sparse()

subroutine sparsematrix::mat2sparse	(	type(sparse_matrix), intent(inout)	sp,
		real, dimension(:, :), intent(in)	mat
	)

Convert a normal matrix into a sparse matrix.

mul_sparse()

type(sparse_matrix) function sparsematrix::mul_sparse	(	type(sparse_matrix), intent(in)	a,
		type(sparse_matrix), intent(in)	b
	)

Returns the product of two sparse matrices.

mul_sparse_num()

type(sparse_matrix) function sparsematrix::mul_sparse_num	(	real, intent(in)	num,
		type(sparse_matrix), intent(in)	a
	)

mul_sparse_vcol()

real function, dimension(sp%nr) sparsematrix::mul_sparse_vcol	(	type (sparse_matrix), intent(in)	sp,
		real, dimension(:), intent(in)	vin
	)

Mutiplies a sparse matrix by a column-vector.

mul_sparse_vrow()

real function, dimension(sp%nc) sparsematrix::mul_sparse_vrow	(	real, dimension(:), intent(in)	vin,
		type (sparse_matrix), intent(in)	sp
	)

Multipiles a row-vector by a sparse matrix.

sp_abs()

type(sparse_matrix) function sparsematrix::sp_abs

(

type(sparse_matrix), intent(in)

a

)

sp_compr()

type(sparse_matrix) function sparsematrix::sp_compr

(

type(sparse_matrix), intent(in)

a

)

Returns the given matrix, taking out the zero-values.

sp_neg()

type(sparse_matrix) function sparsematrix::sp_neg

(

type(sparse_matrix), intent(in)

a

)

Return the negative of the given matrix.

sparse2mat()

subroutine sparsematrix::sparse2mat	(	real, dimension(sp%nr, sp%nc), intent(inout)	mat,
		type(sparse_matrix), intent(in)	sp
	)

Convert sparse matrix into a normal one.

sparse2sparse()

subroutine sparsematrix::sparse2sparse	(	type(sparse_matrix), intent(inout)	spout,
		type(sparse_matrix), intent(in)	spin
	)

Copy the data of one sparse matrix into another.

sub_sparse()

type(sparse_matrix) function sparsematrix::sub_sparse	(	type(sparse_matrix), intent(in)	a,
		type(sparse_matrix), intent(in)	b
	)

Returns the difference between two matrices.

sum_sparse()

type(sparse_matrix) function sparsematrix::sum_sparse	(	type(sparse_matrix), intent(in)	a,
		type(sparse_matrix), intent(in)	b
	)

Returns the sum of the two sparse matrices.

trans_matrix()

type (sparse_matrix) function sparsematrix::trans_matrix

(

type (sparse_matrix), intent(in)

a

)

Returns a transposed sparse matrix.