E.g., calling the function like this inside another function will allow inplace operations: function some_functionĪ = perms_of_(A) % save the result of the call in a variable

If you don't use specific inplace operation syntax in the caller then a deep copy will be returned to the caller. In general, the ith dimension of the output array is the dimension dimorder (i) from the input array. For example, permute (A, 2 1) switches the row and column dimensions of a matrix A. This syntax of using the same variable name for input and output can sometimes result in inplace operations depending on how the function is called. B permute (A,dimorder) rearranges the dimensions of an array in the order specified by the vector dimorder. However, if one tests the memory usage of a multidimensional permutation, it's the same as the variable used. =size(A) % number of rows and columnsįor j = 1:d % permute the elements of column j Why does MATLAB's permute not need extra memory The permutation operation needs to output a different matrix to the output, it's not like reshape, where the data is not modified, permute does modify the data. Perms = perms_of_(A) % save the result of the call in a variableįunction A = perms_of_(A) % declare the return variable to be A Matrix P has the same data type as v, and it has n rows and n columns. Each row of P contains a different permutation of the n elements in v. That is, you calculate a new A inside your function but you don't return it to the caller via the perms variable. P perms (v) returns a matrix containing all permutations of the elements of vector v in reverse lexicographic order. data dimension, matlab data, plotting axis, anatomical. You are not returning the result in your function. The pixel display is arranged in the same way as youd see the matrix display in text.

Matlabe permute