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codistributed.speye - Create codistributed sparse identity matrix

Syntax

CS = codistributed.speye(n) CS = codistributed.speye(m, n) CS = codistributed.speye([m, n]) CS = speye(n, codist) CS = speye(m, n, codist) CS = speye([m, n], codist)

Description

CS = codistributed.speye(n) creates an n-by-n sparse codistributed array of underlying class double.

CS = codistributed.speye(m, n) or CS = codistributed.speye([m, n]) creates an m-by-n sparse codistributed array of underlying class double.

Optional arguments to codistributed.speye must be specified after the required arguments, and in the following order:

codist — A codistributor object specifying the distribution scheme of the resulting array. If omitted, the array is distributed using the default distribution scheme. For information on constructing codistributor objects, see the reference pages for codistributor1d and codistributor2dbc.
'noCommunication' — Specifies that no interworker communication is to be performed when constructing the array, skipping some error checking steps.

CS = speye(n, codist) is the same as CS = codistributed.speye(n, codist). You can also use the optional arguments with this syntax. To use the default distribution scheme, specify a codistributor constructor without arguments. For example:

spmd
    CS = codistributed.speye(8, codistributor1d());
end

CS = speye(m, n, codist) and CS = speye([m, n], codist) are the same as CS = codistributed.speye(m, n) and CS = codistributed.speye([m, n]), respectively. You can also use the optional arguments with this syntax.

Note To create a sparse codistributed array of underlying class logical, first create an array of underlying class double and then cast it using the logical function:

CLS = logical(speye(m, n, codistributor1d()))

Examples

With four labs,

spmd(4)
    CS = speye(1000, codistributor())
end

creates a 1000-by-1000 sparse codistributed double array CS, distributed by its second dimension (columns). Each lab contains a 1000-by-250 local piece of CS.

spmd(4)
    codist = codistributor1d(2, 1:numlabs);
    CS = speye(10, 10, codist);
end

creates a 10-by-10 sparse codistributed double array CS, distributed by its columns. Each lab contains a 10-by-labindex local piece of CS.

codistributed.speye - Create codistributed sparse identity matrix

Syntax

Description

Examples

See Also

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