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# create a sparse matrix with columns of increasing length.
compare with the original.
You can have different error tolerances for the two s.
It is not a problem if there are empty columns.
[SparseMatrix of class SparseMatrix, i is 0, j is 0, type SparseMatrix, dimensions: 11 x 13]
downloadxforcekeygenNavisworksSimulate2018portable
i is 0 j is 0.
[1] 0
i is 1 j is 0.
[1] 0
i is 2 j is 0.
[1] 0
i is 3 j is 0.
[1] 0
i is 4 j is 0.
[1] 0
i is 5 j is 0.
[1] 0
i is 6 j is 0.
[1] 0
i is 7 j is 0.
[1] 0
i is 8 j is 0.
[1] 0
i is 9 j is 0.
[1] 0
i is 10 j is 0.
[1] 0
i is 11 j is 0.
[1] 0
i is 12 j is 0.
[1] 0
i is 13 j is 0.
[1] 0
i is 14 j is 0.
[1] 0
i is 15 j is 0.
[1] 0
i is 16 j is 0.
[1] 0
i is 17 j is 0.
[1] 0
i is 18 j is 0.
[1] 0
i is 19 j is 0.
[1] 0
i is 20 j is 0.
[1] 0
i is 21 j is 0.
[1] 0
i is 22 j is 0.
[1] 0
i is 23 j is 0.
[1] 0
i is 24 j is 0.
[1] 0
i is 25 j is 0.
[1] 0
i is 26 j is 0.
[1] 0
i is 27 j is 0.
[1] 0
i is 28 j is 0.
[1] 0
i is 29 j is 0.
[1] 0
i is 30 j is 0.
[1] 0
i is 31 j is 0.
[1] 0
i is 32 j is 0.
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