A quadratic function of a set of variables is a linear combination of constants and products of one or two of the variables (including squares of them).

A linear constraint is an inequality which only contains a linear combination of constants and individual variables.

How do these relate to your description of the hard margin SVM problem? (The variables are the components of

)