sprank
Structural rank
Syntax
Description
r = sprank(
calculates the structural rank of
sparse matrix A
)A
.
Examples
Calculate Structural Rank of Matrix
Calculate the structural rank of a 2-by-4 matrix.
A = [1 0 2 0 2 0 4 0]; A = sparse(A); rs = sprank(A)
rs = 2
Compare the structural rank to the regular rank calculation.
rf = rank(full(A))
rf = 1
For this matrix, the structural rank is 2 since two of the columns are nonzero. But the actual rank of the matrix is 1 since the columns are multiples of each other.
Input Arguments
A
— Input matrix
sparse matrix
Input matrix, specified as a sparse matrix.
Data Types: double
Complex Number Support: Yes
More About
Structural Rank
The structural rank of a matrix is the maximum rank of all matrices with the same nonzero pattern. A matrix has full structural rank if it can be permuted so that the diagonal has no zero entries.
The structural rank is an upper bound on the rank of a matrix, so it satisfies
sprank(A) >= rank(full(A))
.
Here are some definitions of the structural rank in terms of other functions:
The structural rank is a "maximum matching" and is related to the Dulmage-Mendelsohn decomposition by
sprank(A) = sum(dmperm(A)>0)
.Unlike
dmperm
, thematchpairs
function also takes weights into account when it calculates matches. You can calculate a maximum matching by converting the matrix to 1s and 0s and maximizing the weight of the matches withmatchpairs(double(A~=0),0,'max')
. The structural rank is then equal to the number of matches.
Extended Capabilities
Thread-Based Environment
Run code in the background using MATLAB® backgroundPool
or accelerate code with Parallel Computing Toolbox™ ThreadPool
.
This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.
Version History
Introduced before R2006a
See Also
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