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Creating a list with n zeroes mat.
P zeros 1000 int8 distributed.
Create an array of all zeros.
If you have parallel computing toolbox create a 1000 by 1000 distributed array of zeros with underlying data type int8.
B zeros n b zeros m n b zeros m n b zeros d1 d2 d3 b zeros d1 d2 d3 b zeros size a description.
C zeros size1 sizen codist returns a size1 by by sizen codistributed array with underlying class of double and zeros in all elements.
B zeros n returns an n by nmatrix of zeros.
The class mat represents an n dimensional dense numerical single channel or multi channel array.
Particular cases b zeros a if a is a scalar then matlab returns a a a matrix of zeros but in scilab you get a 1 use zeros a a to get the same matrix b.
N dimensional dense array class.
Z zeros sz like p creates an array of zeros with the same type and underlying class data type as array p.
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Creating array with all ones d np ones 3 3 print array with all ones n d creating array with all zeros e np zeros 3 3 print array with all zeroes n e.
C zeros sz codist or c zeros sz datatype codist creates a codistributed array of zeros with the specified size and underlying class the.
If a is a row vector scilab and matlab give the same b.
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The codistributor object codist specifies the distribution scheme for creating the codistributed array.
Create an array of all zeros.
An error message appears if nis not a scalar.
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For the distributed data type the like syntax clones the underlying data type in addition to the primary data type.
It can be used to store real or complex valued vectors and matrices grayscale or color images voxel volumes vector fields point clouds tensors histograms though very high dimensional histograms may be better stored in a sparsemat.