Solutions

Solve the proposed problems about constrained optimization.

Here, we’ll review the solutions to the exercise problems of constrained optimization.

Exercise 1: A simple contained problem

The first problem was:

minx,yx3ys.t.:3xy=1x3>1\min_{x, y} x^3 - y \\ s.t.: 3x - y = 1 \\ x^3 > -1

Here, we have two constraints. The first one is a good constraint. We can use it to reduce the number of variables. Let’s use it to get rid of the xx variable:

minxx33x+1s.t.:x3>1\min_x x^3 - 3x + 1 \\ s.t.: x^3 > -1

Now we have a univariate problem with a single constraint. This constraint is a bad constraint. But we know a method to solve this kind of problem. As x3>1x^3 > -1, then x>1x > -1. If we look at the graph of the function, we see that it’s bitonic for those values of xx and that the minimum lies somewhere between 00 and 22. So we can solve the problem with a ternary search.

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