## google's or-tools

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### tl; dr

* the goal of optimization is to find the best solution to a problem out of a large set of possible solutions (or any feasible solution).
* all optimization problems have the following elements:
  * the **objective**: the quantity you want to optimize. an optimal solution is one for which the value of the objective function is the best, i.e. max or min.
  * the **constraints**: restrictions on the set of possible solutions, based on the specific requirements of the problem. a feasible solution is one that satisfies all the given constraints for the problem, without necessarily being optimal.
* [google's or-tools](https://developers.google.com/optimization/introduction) is an open-source software for combinatorial optimization, which seeks to find the best solution to a problem out of a very large set of possible solutions.