3.2 Smooth and Strongly Convex Functions

[@gt_money]

For anyone interested in understanding smooth/strong convexity conceptually:
A function is smoothly convex if at any point you can fit a quadratic on it
A function is strongly convex if at any point you can fit a quadratic underneath it

[@lindseyfeng9610]

thank you so much this is really useful thanks for saving my finals and everything

[@andrewmeowmeow]

Thank you for sharing such a good video!

[@salwamostafa1332]

Thanks so much for these detailed explanations. It really helps.

[@zeinabashtab1456]

thanks for your video.

[@eyadshami2194]

Does the definition of the quadratic upper bound assume that f is convex? from what I understand that f is not required to be convex just smooth, but to derive the quadratic upper bound we define the function g and proved that g is convex.
Another question, why did we define function g in that exact shape?