Inverse permute array dimensions
Create a 4-by-3-by-2 array B, and compute its inverse permutation according to the dimension order [3 1 2].
rng default
B = rand(4,3,2)B =
B(:,:,1) =
0.8147 0.6324 0.9575
0.9058 0.0975 0.9649
0.1270 0.2785 0.1576
0.9134 0.5469 0.9706
B(:,:,2) =
0.9572 0.4218 0.6557
0.4854 0.9157 0.0357
0.8003 0.7922 0.8491
0.1419 0.9595 0.9340
A = ipermute(B,[3 1 2])
A =
A(:,:,1) =
0.8147 0.9572
0.6324 0.4218
0.9575 0.6557
A(:,:,2) =
0.9058 0.4854
0.0975 0.9157
0.9649 0.0357
A(:,:,3) =
0.1270 0.8003
0.2785 0.7922
0.1576 0.8491
A(:,:,4) =
0.9134 0.1419
0.5469 0.9595
0.9706 0.9340
The inverse permutation A is the array such that, when you permute it using the same dimension order, the result is equal to the original array B.
C = permute(A,[3 1 2])
C =
C(:,:,1) =
0.8147 0.6324 0.9575
0.9058 0.0975 0.9649
0.1270 0.2785 0.1576
0.9134 0.5469 0.9706
C(:,:,2) =
0.9572 0.4218 0.6557
0.4854 0.9157 0.0357
0.8003 0.7922 0.8491
0.1419 0.9595 0.9340
B — Input arrayInput array, specified as a vector, matrix, or multidimensional array.
dimorder — Dimension orderDimension order, specified as a row vector with unique, positive integer elements representing the dimensions of the input array.
This function supports tall arrays with the limitation:
Permuting the tall dimension (dimension one) is not supported.
For more information, see Tall Arrays for Out-of-Memory Data.
Usage notes and limitations:
Does not support cell arrays for the first argument.
See Variable-Sizing Restrictions for Code Generation of Toolbox Functions (MATLAB Coder).
This function fully supports GPU arrays. For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).
This function fully supports distributed arrays. For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).
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