Gives a brief overview of a quadratic programming optimisation, explaining in pictorial terms what the problem looks like and hence how linear constraints give rise to different solutions. Emphasises how the unconstrained optimal could be far away from the constrained optimal and more importantly, gives an example of where the unconstrained optimal can even be very misleading thus motivating the need not to deploy a simple saturation solution.