What is convex optimization used for

What are convex functions used for?

Because the optimization process / finding the better solution over time, is the learning process for a computer.
I want to talk more about why we are interested in convex functions.
The reason is simple: convex optimizations are "easier to solve", and we have a lot of reliably algorithm to solve._{Jan 25, 2018}.

What is convex optimization in real world examples?

Convex functions play an important role in many areas of mathematics.
They are especially important in the study of optimization problems where they are distinguished by a number of convenient properties.
For instance, a strictly convex function on an open set has no more than one minimum..

Why do we care about convex in optimization?

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1. If the optimization problem is convex, then any local minimizer is also a global minimizer.
Thus, if you can use gradient descent techniques, to solve any convex problem optimally. .
2. If the optimization problem is strongly convex, then if you can find a local minima, then that is also a unique global minima

Why do we use convex functions?

Convex functions play an important role in many areas of mathematics.
They are especially important in the study of optimization problems where they are distinguished by a number of convenient properties.
For instance, a strictly convex function on an open set has no more than one minimum..