I’m fascinated by optimization but I get lost on the state of the art, since it’s usually extremely dense and reliant on you being super easy with symbols and complex abstractions (in other words, a full-time mathematician).

Can anyone recommend a good didactic book or online course for a computer scientist with a good grasp of math and machine learning? It has to reach beyond linear problems.