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+## google's or-tools
+
+<br>
+
+### 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.