sparse

Sparse matrix definition.

📝Syntax

sp = sparse(M)
sp = sparse(m, n)
sp = sparse(I, J, V)
sp = sparse(I, J, V, m, n)
sp = sparse(I, J, V, m, n, nz)

📥Input Arguments

Parameter	Description
M	a matrix: double or logical.
m	an integer value: rows dimension.
n	an integer value: columns dimension
I	a vector.
J	a vector.
V	a vector.
nz	an integer value: storage allocation for nonzero elements.

📤Output Arguments

Parameter	Description
S	a single.

📄Description

sparse is used to build a sparse matrix. Only non-zero entries are stored.

If M is a full matrix, sparse converts it to a sparse matrix representation, removing all zero values.

If nz is not specified, sparse uses as default value: nz = max([numel(i), numel(j), numel(v)])

If multiple values are specified with the same i, j indices, the associated value will be the sum of the values at the repeated index.

💡Examples

sp = sparse(eye(3,3))

sp = sparse(3, 3)

I = [1 2 3];
J = [3 1 2];
V = [32 42 53];
sp = sparse(I, J, V)
size(sp)

I = [1 2 3];
J = [3 1 2];
V = [32 42 53];
sp = sparse(I, J, V, 5, 4)
size(sp)
nnz(sp)
nzmax(sp)

I = [1 2 3];
J = [3 1 2];
V = [32 42 53];
sp = sparse(I, J, V, 5, 4, 10)
size(sp)
nnz(sp)
nzmax(sp)

🔗See Also

🕔Version History

Version	Description
1.0.0	initial version