"No babysitting": Stephen Boyd on the true benefit of convex optimization

calvinmccarter.substack.com

In a recent episode of the excellent InControl podcast, Alberto Padoan asked Stephen Boyd about the value of convex optimization. What follows is a transcript of his response, followed by a few of my own comments at the end. It's an incredibly important tool, to solve all kinds of optimization problems. The usual sort of story on optimization problems is, "Here's what I'd like to solve." And people don't like to admit it when they're teaching these classes, but the bottom line is that we can't solve most of these problems. You just can't. Now maybe it doesn't matter; maybe we have heuristics that do well. If you get a good model, and you get good predictions, and your hedge fund makes money, you're fine, you don't need to worry about that.

## "No babysitting": Stephen Boyd on the true benefit of convex optimization

## "No babysitting": Stephen Boyd on the true…

## "No babysitting": Stephen Boyd on the true benefit of convex optimization

In a recent episode of the excellent InControl podcast, Alberto Padoan asked Stephen Boyd about the value of convex optimization. What follows is a transcript of his response, followed by a few of my own comments at the end. It's an incredibly important tool, to solve all kinds of optimization problems. The usual sort of story on optimization problems is, "Here's what I'd like to solve." And people don't like to admit it when they're teaching these classes, but the bottom line is that we can't solve most of these problems. You just can't. Now maybe it doesn't matter; maybe we have heuristics that do well. If you get a good model, and you get good predictions, and your hedge fund makes money, you're fine, you don't need to worry about that.