/**
* Generate a sparsity pattern that
* is completely stored locally,
- * having #m rows and #n columns. The
+ * having $m$ rows and $n$ columns. The
* resulting matrix will be
* completely stored locally.
*
/**
* Generate a sparsity pattern that
* is completely stored locally,
- * having #m rows and #n columns. The
+ * having $m$ rows and $n$ columns. The
* resulting matrix will be
* completely stored locally.
*
/**
* Initialize a sparsity pattern that
* is completely stored locally,
- * having #m rows and #n columns. The
+ * having $m$ rows and $n$ columns. The
* resulting matrix will be
* completely stored locally.
*
/**
* Initialize a sparsity pattern that
* is completely stored locally,
- * having #m rows and #n columns. The
+ * having $m$ rows and $n$ columns. The
* resulting matrix will be
* completely stored locally.
*