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Permute matlab11/22/2023 The input and output dimensions of the model array are not counted as array dimensions for this operation. Rearrange the dimensions of a multidimensional array. B = permute(A,order) rearranges the dimensions of A so that they are in the order specified by the vector order. B has the same values of A but the order of the subscripts needed to access any particular element is rearranged as specified by order. MATLAB includes a function called permute(), which is a generalization of the transpose function but for ND arrays. Permute() takes in an ND-array and the desired array order and then returns the rearranged data. The syntax looks this: newArray = permute( oldArray, ). Permute does a permutation of the dimensions of an array, not of its elements, as one may expect from its name. Thus, permute(A,) flips dimension 2 (the columns) of array A with dimension 1 (the rows) of array A, which is equivalent to a transpose (A'). This MATLAB function returns a row vector containing a random permutation of the integers from 1 to n without repeating elements. Mat = vec2mat (vec,matcol) converts the vector vec into a matrix with matcol columns, creating one row at a time. If the length of vec is not a multiple of matcol, then extra zeros are placed in the last row of mat. Yes, this looks hard and it is indeed hard! To check if you understand thoroughly, try predicting a square Matrix's similar different permutations.The matrix mat has ceil (length (vec)/matcol) rows. So, there will be 1 4x2 (4x2x1) matrix(itself!). * G = permute(A,) % this makes no difference, using to show the reasoningĤx2x1 ( row(1) dimension of A = 4, column(2) dimension of A = 2, page(3) dimension of A = 1 4 is row dimension, 2 is column dimension and 1 is page dimension for the generated G) * F = permute(A,) % this is transpose and same as Ģx4x1 ( column(2) dimension of A = 2, row(1) dimension of A = 4, page(3) dimension of A = 1 2 is row dimension, 4 is column dimension and 1 is page dimension for the generated F) So, there will be 4 2x1 (2x1x4) column matrixes. As in: ans(:,:,1) =Ģx1x4 ( column(2) dimension of A = 2, page(3) dimension of A = 1, row(1) dimension of A = 4 2 is row dimension, 1 is column dimension and 4 is page dimension for the generated E) So, there will be 2 4x1 (4x1x2) column matrixes. As in: ans(:,:,1) =Ĥx1x2 ( row(1) dimension of A = 4, page(3) dimension of A = 1, column(2) dimension of A = 2 4 is row dimension, 1 is column dimension and 2 is page dimension for the generated D) So, there will be 2 1x4 (1x4x2) row matrixes. As in: ans(:,:,1) =ġx4x2 ( page(3) dimension of A = 1, row(1) dimension of A = 4, column(2) dimension of A = 2 1 is row dimension, 4 is column dimension and 2 is page dimension for the generated C) So, there will be 4 1x2 (1x2x4) row matrixes. G = permute(A,) % means ġx2x4 ( page(3) dimension of A = 1, column(2) dimension of A = 2, row(1) dimension of A = 4 1 is row dimension, 2 is column dimension and 4 is page dimension for the generated B. % 3 = page, 2 = column and 1 = row dimensions):ī = permute(A,) % means Ĭ = permute(A,) % means ĭ = permute(A,) % means Į = permute(A,) % means į = permute(A,) % means % (numbers in the order argument of permute function indicates dimensions, Now let's move to the examples, Finally: % A has 4 rows, 2 columns and 1 page Order argument passed to permute swap these dimensions in the matrix and produce an awkward combination of arrays, I think permute is a misnomer for this effect. B=zeros(10,3) has 10 rows, 3 columns and 1 page, this order is important!) And if you don't specify a dimension, its default count is set to 1. Here are some examples to prevent you from suffering a similar excruciating pain:įirst, let's remember the dimensions' names of matrix in matlab: A = zeros(4,5,7), matrix A has 4 rows, 5 columns and 7 pages. Therefore, I used the F*ck word many times during " my journey of understanding the permute function". Wow, this is one of the hardest functions to figure out among all the different SDKs I have used up to now.
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