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/* spmatrix/compress_source.c
*
* Copyright (C) 2012, 2013, 2014, 2015, 2016, 2017, 2018 Patrick Alken
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or (at
* your option) any later version.
*
* This program is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
/*
gsl_spmatrix_csc()
Create a sparse matrix in compressed column format
Inputs: T - sparse matrix in triplet format
Return: pointer to new matrix (should be freed when finished with it)
*/
int
FUNCTION (gsl_spmatrix, csc) (TYPE (gsl_spmatrix) * dest, const TYPE (gsl_spmatrix) * src)
{
if (!GSL_SPMATRIX_ISCOO(src))
{
GSL_ERROR_NULL("input matrix must be in COO format", GSL_EINVAL);
}
else if (!GSL_SPMATRIX_ISCSC(dest))
{
GSL_ERROR_NULL("output matrix must be in CSC format", GSL_EINVAL);
}
else if (src->size1 != dest->size1 || src->size2 != dest->size2)
{
GSL_ERROR("matrices must have same dimensions", GSL_EBADLEN);
}
else
{
int status;
const int *Tj = src->p; /* column indices of triplet matrix */
int *Cp; /* column pointers of compressed column matrix */
int *w; /* copy of column pointers */
size_t n, r;
if (dest->nzmax < src->nz)
{
status = FUNCTION (gsl_spmatrix, realloc) (src->nz, dest);
if (status)
return status;
}
Cp = dest->p;
/* initialize column pointers to 0 */
for (n = 0; n < dest->size2 + 1; ++n)
Cp[n] = 0;
/*
* compute the number of elements in each column:
* Cp[j] = # non-zero elements in column j
*/
for (n = 0; n < src->nz; ++n)
Cp[Tj[n]]++;
/* compute column pointers: p[j] = p[j-1] + nnz[j-1] */
gsl_spmatrix_cumsum(dest->size2, Cp);
/* make a copy of the column pointers */
w = dest->work.work_int;
for (n = 0; n < dest->size2; ++n)
w[n] = Cp[n];
/* transfer data from triplet format to CSC */
for (n = 0; n < src->nz; ++n)
{
int k = w[Tj[n]]++;
dest->i[k] = src->i[n];
for (r = 0; r < MULTIPLICITY; ++r)
dest->data[MULTIPLICITY * k + r] = src->data[MULTIPLICITY * n + r];
}
dest->nz = src->nz;
return GSL_SUCCESS;
}
}
/* XXX deprecated function */
TYPE (gsl_spmatrix) *
FUNCTION (gsl_spmatrix, compcol) (const TYPE (gsl_spmatrix) * src)
{
return FUNCTION (gsl_spmatrix, ccs) (src);
}
/* XXX deprecated function */
TYPE (gsl_spmatrix) *
FUNCTION (gsl_spmatrix, ccs) (const TYPE (gsl_spmatrix) * src)
{
TYPE (gsl_spmatrix) * dest = FUNCTION (gsl_spmatrix, alloc_nzmax) (src->size1, src->size2, src->nz, GSL_SPMATRIX_CSC);
FUNCTION (gsl_spmatrix, csc) (dest, src);
return dest;
}
/*
gsl_spmatrix_csr()
Create a sparse matrix in compressed row format
Inputs: dest - (output) sparse matrix in CSR format
src - sparse matrix in triplet format
Return: success/error
*/
int
FUNCTION (gsl_spmatrix, csr) (TYPE (gsl_spmatrix) * dest, const TYPE (gsl_spmatrix) * src)
{
if (!GSL_SPMATRIX_ISCOO(src))
{
GSL_ERROR("input matrix must be in COO format", GSL_EINVAL);
}
else if (!GSL_SPMATRIX_ISCSR(dest))
{
GSL_ERROR("output matrix must be in CSR format", GSL_EINVAL);
}
else if (src->size1 != dest->size1 || src->size2 != dest->size2)
{
GSL_ERROR("matrices must have same dimensions", GSL_EBADLEN);
}
else
{
int status;
const int *Ti = src->i; /* row indices of triplet matrix */
int *Cp; /* row pointers of compressed row matrix */
int *w; /* copy of column pointers */
size_t n, r;
if (dest->nzmax < src->nz)
{
status = FUNCTION (gsl_spmatrix, realloc) (src->nz, dest);
if (status)
return status;
}
Cp = dest->p;
/* initialize row pointers to 0 */
for (n = 0; n < dest->size1 + 1; ++n)
Cp[n] = 0;
/*
* compute the number of elements in each row:
* Cp[i] = # non-zero elements in row i
*/
for (n = 0; n < src->nz; ++n)
Cp[Ti[n]]++;
/* compute row pointers: p[i] = p[i-1] + nnz[i-1] */
gsl_spmatrix_cumsum(dest->size1, Cp);
/* make a copy of the row pointers */
w = dest->work.work_int;
for (n = 0; n < dest->size1; ++n)
w[n] = Cp[n];
/* transfer data from triplet format to CSR */
for (n = 0; n < src->nz; ++n)
{
int k = w[Ti[n]]++;
dest->i[k] = src->p[n];
for (r = 0; r < MULTIPLICITY; ++r)
dest->data[MULTIPLICITY * k + r] = src->data[MULTIPLICITY * n + r];
}
dest->nz = src->nz;
return GSL_SUCCESS;
}
}
/* XXX deprecated function */
TYPE (gsl_spmatrix) *
FUNCTION (gsl_spmatrix, crs) (const TYPE (gsl_spmatrix) * src)
{
TYPE (gsl_spmatrix) * dest = FUNCTION (gsl_spmatrix, alloc_nzmax) (src->size1, src->size2, src->nz, GSL_SPMATRIX_CSR);
FUNCTION (gsl_spmatrix, csr) (dest, src);
return dest;
}
TYPE (gsl_spmatrix) *
FUNCTION (gsl_spmatrix, compress) (const TYPE (gsl_spmatrix) * src, const int sptype)
{
int status = GSL_SUCCESS;
TYPE (gsl_spmatrix) * dest = FUNCTION (gsl_spmatrix, alloc_nzmax) (src->size1, src->size2, src->nz, sptype);
if (dest == NULL)
return NULL;
if (sptype == GSL_SPMATRIX_CSC)
{
status = FUNCTION (gsl_spmatrix, csc) (dest, src);
}
else if (sptype == GSL_SPMATRIX_CSR)
{
status = FUNCTION (gsl_spmatrix, csr) (dest, src);
}
else if (sptype == GSL_SPMATRIX_COO)
{
/* make a copy of src */
status = FUNCTION (gsl_spmatrix, memcpy) (dest, src);
}
else
{
status = GSL_EINVAL;
GSL_ERROR_NULL ("unknown sparse matrix format", status);
}
if (status != GSL_SUCCESS)
{
FUNCTION (gsl_spmatrix, free) (dest);
return NULL;
}
return dest;
}
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