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spconvert | Examples |
Import matrix from sparse matrix external format
S = spconvert(D)
spconvert
is used to create sparse matrices from a simple sparse format easily produced by non-MATLAB sparse programs. spconvert
is the second step in the process:
.[i,j,v]
or [i,j,re,im]
as rows into a
MATLAB variable.
.S = spconvert(D)
converts a matrix D
with rows containing [i,j,s]
or [i,j,r,s]
to the corresponding sparse matrix. D
must have an nnz
or nnz+1
row and three or four columns. Three elements per row generate a real matrix and four elements per row generate a complex matrix. A row of the form [m
n
0]
or [m
n
0
0]
anywhere in D
can be used to specify size(S)
. If D
is already sparse, no conversion is done, so spconvert
can be used after D
is loaded from either a MAT-file or an ASCII file.
Suppose the ASCII file uphill.dat
contains
1 1 1.000000000000000 1 2 0.500000000000000 2 2 0.333333333333333 1 3 0.333333333333333 2 3 0.250000000000000 3 3 0.200000000000000 1 4 0.250000000000000 2 4 0.200000000000000 3 4 0.166666666666667 4 4 0.142857142857143 4 4 0.000000000000000Then the statements
load uphill.dat H = spconvert(uphill)recreate
sparse(triu(hilb(4)))
, possibly with roundoff errors. In this case, the last line of the input file is not necessary because the earlier lines already specify that the matrix is at least 4-by-4.