3d Matrix Vectorization

But i am not sure how to proceed any further or even if this is the best approach.

3d matrix vectorization. Specifically the vectorization of a m n matrix a denoted vec a is the mn 1 column vector obtained by stacking the columns of the matrix a on top of one another. First we created a matrix i which is a 3 4 matrix of integers. 7 1 5 add a second page now. Creation of 3d matrix.

We repeat b in the 3rd dimension as well. Learn more about vectorization vectorize for loop loop loops c c matlab coder cell arrays matrix array matrix. What it does is. Then we indexed multiple rows of x together using numpy s fancy indexing giving us a 3d matrix.

Make a into a 3d matrix of size n x 1 x m so one column in each index of the 3rd dimension. How do i apply the logical condition d c to the 3d matrices. In mathematics especially in linear algebra and matrix theory the vectorization of a matrix is a linear transformation which converts the matrix into a column vector. Create a 3 by 3 matrix as the first page in a 3 d array you can clearly see that we are first creating a 2d matrix a 11 2 7.

The resulting matrix is a 1 x d x m matrix. Let s now understand how can we create a 3d matrix in matlab. Vectorize loop over cell array 3d array. Then we repeat the matrix so we get an n x d x m matrix.

The first index of the output 3d matrix is the 2d matrix as if we used trick 1 on matrix x with the indices 7 4 1 2.