Create a sparse matrix using i, j and x (row indices, column indicies and
values respectively) then symmetrizes it with low memory footprint
symmetrize.pmax.sparse symmetrize matrix with max(m[i,j], m[j,i])
symmetrize.pmin.sparse symmetrize matrix with min(m[i,j], m[j,i])
Usage
symmetrize.pmax.sparse(i, j, x, height)
symmetrize.pmin.sparse(i, j, x, height)
Arguments
- i
row indices (1-based)
- j
column indices (1-based)
- x
values such that m[i,j] = x
- height
height of the matrix (number of rows)
Value
a symmetric sparse dgCMatrix of size height x height
