Using Applied Mathematics for Optimal COVID Policy Making (The Saad Truth with Dr. Saad_253)
The Saad Truth with Dr. Saad
thesaadtruthwithdrsaad
4.7 • 1.3K Ratings
🗓️ 16 August 2021
⏱️ 11 minutes
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| 0:00.0 | Hi everybody this is Scott said I hope that your week is off to a good start today I |
| 0:05.8 | wanted to spend a few minutes discussing the field of operations research and |
| 0:10.3 | how it is relevant to the manner by which our policy makers have |
| 0:17.2 | handled the COVID response. I discuss in the parasitic mind |
| 0:22.4 | operations research briefly, but let me mention it again. |
| 0:26.0 | I've actually mentioned it in other contexts as well. |
| 0:29.7 | Operations research is an |
| 0:33.5 | applied mathematics field where you're trying to maximize or minimize an objective. So for example, take the classic example of the traveling salesman problem. |
| 0:43.5 | So you have a salesman who's going to visit X number of cities, A, B, C, D, E, F. |
| 0:50.5 | He could only go to one city once and then return to the starting point. |
| 0:55.0 | What is the order in which he should visit the cities so that he can minimize the travel time or the gas cost. |
| 1:04.8 | So in this case it's a minimization problem. |
| 1:06.8 | Now when the number of cities are very few, |
| 1:09.9 | then you can actually manually try out each of the different options to see which is the optimal one. |
| 1:15.2 | But imagine that he has to visit 38 cities, then it becomes impossible to do so manually. |
| 1:20.9 | So you usually, well not usually you would use an algorithm stemming |
| 1:25.6 | from operations research where a prescriptive path is provided for you. So in the business school many, many problems, |
| 1:35.0 | nature in general, but in the business school many problems are |
| 1:40.0 | manifestations of either something that you're trying to maximize, |
| 1:43.4 | maximize profits subject to these production costs |
| 1:48.4 | or minimize the waiting time, the cues for customers. So all kinds of scheduling algorithms |
| 1:57.1 | stem from operations research. So nature, and certainly the applied manifestations of problems that we tackle in nature involve you trying to |
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