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());
endC = 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');
codistributed.speye | distributed.speye | eye | false | Inf | NaN | ones | true | zeros