To get a firmer grasp on exactly how the optimization problem in SVMs is defined, write the complete optimization problem for a data set consisting of five points in three-dimensional space. How many...

To get a firmer grasp on exactly how the optimization problem in SVMs is defined, write the complete optimization problem for a data set consisting of five points in three-dimensional space. How many variables are there in the optimization problem? How many for an n-point, d-dimensional data set? What does this say about performing SVM classification on increasingly large data sets?