best practices for 'Matrix dimensions must agree' scenarios in MATLAB when handling 3D arrays?
I'm working on a personal project and Hey everyone, I'm running into an issue that's driving me crazy. I'm testing a new approach and I've looked through the documentation and I'm still confused about I'm working on a MATLAB project where I need to perform element-wise operations on 3D arrays, but I keep working with the 'Matrix dimensions must agree' behavior... I'm using MATLAB R2023a and trying to calculate the average across certain dimensions of a 3D array. Here's a simplified version of my code: ```matlab A = rand(4, 4, 3); % 4x4x3 array B = rand(4, 4, 1); % 4x4x1 array C = A + B; % This line throws an behavior ``` The dimensions here seem compatible, but MATLAB doesn't like it. I tried using `repmat` to expand `B` to match the dimensions of `A`: ```matlab B_expanded = repmat(B, [1, 1, size(A, 3)]); C = A + B_expanded; % Still gets the same behavior ``` I also checked the size of both arrays with `size(A)` and `size(B)`, and I confirmed that `A` is 4x4x3 and `B` is 4x4x1. My goal is to add `B` to each slice of `A` along the third dimension. Could it be an scenario with how I'm trying to broadcast the dimensions? Is there a better way to handle this operation in MATLAB? Any suggestions or best practices would be greatly appreciated! My development environment is macOS. Am I missing something obvious? Any advice would be much appreciated. The project is a CLI tool built with Matlab. Could this be a known issue? I'm working with Matlab in a Docker container on Ubuntu 20.04. What's the best practice here? I'm working in a Linux environment. I appreciate any insights!