I am quite new to CVX/Matlab optimization and encountering some problems implementing the following expression:
where w_i is some weighting factor, c_i is a 1x3 vector of XYZ output values, d_i is a 1x3 vector of RGB input values, A is the 3x3 matrix mapping RGB->XYZ that need to be optimized, and T is the number of the training color sample used for the optimization.
My question is, how can I deal with the summation over indexed variables within the L^2 norm?
Thank you very much for your help! Everything finally worked out and I could get the optimization run. Good to know that I can build up the objective function in a separate step before it is called in the minimize() command.