Identity matrix
E = eye(sz,
arraytype
)
E = eye(sz,datatype
,arraytype
)
E = eye(sz,'like',P)
E = eye(sz,datatype
,'like',P)
C = eye(sz,codist)
C
= eye(sz,datatype
,codist)
C = eye(sz,___,codist,'noCommunication')
C = eye(sz,___,codist,'like',P)
E = eye(sz,
creates
an arraytype
)arraytype
identity matrix with underlying
class of double, with ones on the main diagonal and zeros elsewhere.
E = eye(sz,
creates
an datatype
,arraytype
)arraytype
identity matrix with underlying
class of datatype
, with ones on the main
diagonal and zeros elsewhere.
The size and type of array are specified by the argument options according to the following table.
Argument | Values | Descriptions |
---|---|---|
sz | n | Specifies array size as an n -by-n matrix. |
m,n | Specifies array size as an m -by-n matrix. | |
[m n] | ||
arraytype | 'distributed' | Specifies distributed array. |
'codistributed' | Specifies codistributed array, using the default distribution scheme. | |
'gpuArray' | Specifies gpuArray. | |
datatype | 'double' (default), 'single' , 'int8' , 'uint8' , 'int16' , 'uint16' , 'int32' , 'uint32' , 'int64' ,
or 'uint64' | Specifies underlying class of the array, i.e., the data type of its elements. |
E = eye(sz,'like',P)
creates
an identity matrix of the same type and underlying class (data type)
as array P
.
E = eye(sz,
creates
an identity matrix of the specified underlying class (datatype
,'like',P)datatype
),
and the same type as array P
.
C = eye(sz,codist)
or C
= eye(sz,
creates
a codistributed identity matrix of the specified size and underlying
class (the default datatype
,codist)datatype
is 'double'
).
The codistributor object, codist
, specifies the
distribution scheme for creating the codistributed array. For information
on constructing codistributor objects, see the reference pages for codistributor1d
and codistributor2dbc
. To use the default
distribution scheme, you can specify a codistributor constructor without
arguments. For example:
spmd C = eye(8,codistributor1d()); end
C = eye(sz,___,codist,'noCommunication')
specifies
that no interworker communication is to be performed when constructing
a codistributed array, skipping some error checking steps.
C = eye(sz,___,codist,'like',P)
creates
a codistributed identity matrix with the specified size, underlying
class (datatype
), and distribution scheme.
If either the datatype
or codistributor
argument is omitted, the characteristic is acquired from the codistributed
array P
.
Create a 1000-by-1000 distributed identity matrix of underlying class double:
D = eye(1000,'distributed');
Create a 1000-by-1000 codistributed double identity matrix, distributed by its second dimension (columns).
spmd(4) C = eye(1000,'codistributed'); end
With four workers, each worker contains a 1000-by-250 local
piece of C
.
Create a 1000-by-1000 codistributed uint16
identity
matrix , distributed by its columns.
spmd(4) codist = codistributor('1d',2,100*[1:numlabs]); C = eye(1000,1000,'uint16',codist); end
Each worker contains a 100-by-labindex
local
piece of C
.
Create a 1000-by-1000 gpuArray identity matrix of underlying
class uint32
:
G = eye(1000,'uint32','gpuArray');
Inf
| NaN
| codistributed.speye
| distributed.speye
| eye
| false
| ones
| true
| zeros