A set S (say in the plane) is convex if for any x, y ∈ S, the line segment with endpoints x and y _____________.

Optimization is the process where you train the model iteratively that results in a maximum and minimum function evaluation. Optimization is the problem of finding a set of inputs to an objective function that results in a maximum or minimum function evaluation. Optimization helps you get better results.