1. The problem statement, all variables and given/known data Hi all, I am trying to think of some intermediate (C,Java, Matlab) project ideas that would use the conjugate gradient, least squares regression (basiaclly a lot of statistical inference methods), lasso regression, and neural network feedback in order for a computer to solve a problem. The only problem I can think of at this time is image/pixel analysis but this has been done many times and I just want to come up with a quick simulation of my own. Could you guys throw some realistic project ideas at me for I lack in the creative department. the main formula of course is 1./2 .*x^T.*A.*x = x.^T.*b Any input is appreciated.