diff options
Diffstat (limited to 'src/gensvm_sparse.c')
| -rw-r--r-- | src/gensvm_sparse.c | 9 |
1 files changed, 4 insertions, 5 deletions
diff --git a/src/gensvm_sparse.c b/src/gensvm_sparse.c index ebc2c9d..24f18ed 100644 --- a/src/gensvm_sparse.c +++ b/src/gensvm_sparse.c @@ -54,7 +54,7 @@ void gensvm_free_sparse(struct GenSparse *sp) * @brief Count the number of nonzeros in a matrix * * @details - * This is a utility function to count the number of nonzeros in a dense + * This is a utility function to count the number of nonzeros in a dense * matrix. This is simply done by comparing with 0.0. * * @param[in] A a dense matrix (RowMajor order) @@ -78,9 +78,9 @@ long gensvm_count_nnz(double *A, long rows, long cols) * @details * It is only worth to convert to a sparse matrix if the amount of sparsity is * sufficient. For this to be the case, the number of nonzeros must be - * smaller than @f$(n(m - 1) - 1)/2@f$. This is tested here. If the amount of - * nonzero entries is small enough, the function returns the number of - * nonzeros. If it is too big, it returns -1. + * smaller than @f$(n_{row}(n_{col} - 1) - 1)/2@f$. This is tested here. If + * the amount of nonzero entries is small enough, the function returns the + * number of nonzeros. If it is too big, it returns -1. * * @param[in] A matrix in dense format (RowMajor order) * @param[in] rows number of rows of A @@ -178,4 +178,3 @@ double *gensvm_sparse_to_dense(struct GenSparse *A) return B; } - |