I've been search many SVM theory thesis for machine learning Those articles usually say $\max(1/\|w\|)$ equal to $\min(1/2\cdot \|w\|^2)$ but they didn't write the detail of the mathematics process. I also read this Why is max($\frac{2}{||w||}$)= min($\frac{1}{2}$)($||w||^2$)?
I still can't figure out.
thanks