<< nzmax

Sparse type

speye >>

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sparse

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Sparse matrix definition.

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Syntax

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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 argument

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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 argument

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S

a single.

Description

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

If Mis 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

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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

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full, IJV, nnz, nzmax.

History

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Version	Description
1.0.0	initial version

Author

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Allan CORNET