📈 #32 Optimization: where to start

Applying the Pareto rule to identify the most interesting knowledge areas.

I love the Pareto principle. With 20% of the effort, you achieve 80% of the results.

So, I try to apply it whenever I can. It's a way to save energy and focus on the things that matter most.

In the world of Operations Research, it also applies. It's such a broad field of knowledge that it's better to understand where most problems can be found to tackle them effectively.

A few weeks ago, I shared this on my LinkedIn:

It's a pyramid about the stack of knowledge that exists in both Artificial Intelligence and Operations Research.

I shared it because they are two very similar areas of knowledge in general terms and they serve to solve business problems from different perspectives.

From there, if I had to focus on something within OR, I would focus on layers 1 and 2: algorithms and models. So today in Feasible, I'm going to talk precisely about that:

• Mathematical modeling

• Underlying algorithms and others you can write yourself

• What falls outside of this, but can be interesting

So… Let's go for it!

📐 Mathematical Modeling

Let's start from the beginning: