If you have parallel computing toolbox create a 1000 by 1000 distributed array of zeros with underlying data type int8.
Creating a list with n zeroes mat.
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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N dimensional dense array class.
Create an array of all zeros.
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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.
For the distributed data type the like syntax clones the underlying data type in addition to the primary data type.
Z zeros sz datatype like p creates an array of zeros with the specified underlying class datatype and the same type as array p.
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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.
If a is a row vector scilab and matlab give the same b.
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.
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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.
An error message appears if nis not a scalar.
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C zeros sz codist or c zeros sz datatype codist creates a codistributed array of zeros with the specified size and underlying class the.
Create an array of all zeros.
P zeros 1000 int8 distributed.
The class mat represents an n dimensional dense numerical single channel or multi channel array.