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Jetzt kostenlos anmeldenHave you ever wondered how the post office decides what order to deliver mail in? Or how a delivery service can bring everyone on the list a meal without having to backtrack a lot? Have you ever used a flow chart? Then you have already delved into decision maths!
Before looking at the official definition of decision mathematics, let's look at some of the topics included in it.
Computer algorithm design: Even the basic bubble sort is an example of decision mathematics in computer science.
Graph theory: You have probably already heard of the classic travelling salesperson problem which involves finding the shortest path between all of the nodes on a graph.
Linear Programming: Here you will encounter things like the Simplex algorithm, which is used to find a basic solution that satisfies a list of restraints.
Critical Path Analysis: Anyone who has worked in customer service has encountered critical path analysis, which is used to figure out the quickest way to complete a project given a list of tasks, the relationship between the tasks, and how long each task takes.
Game Theory: How should you bet on games at a casino to win the most money anyway?
There are plenty more as well!
So what exactly is decision maths anyway?
Decision maths is a branch of applied probability theory that identifies values and uncertainties related to decisions.
The goal is to make the best decision where each factor in the problem is given a probability of occurring. This can be as simple as deciding not to take an umbrella on your walk because the weather report says there is a low probability of rain today. By not taking an umbrella, you have just made a decision based on probability.
Decision maths is generally broken down into four types.
Making route choices: Package delivery services are especially interested in this type.
Influencing outcomes: You do this when you cook a meal and need to decide when to start various dishes based on the goal of having them all finish cooking at the same time.
Placing bets: Every professional gambler looks at the odds and probabilities before they place bets. Otherwise, they don't stay professional very long. This isn't just for casino gamblers, stock brokers use this too.
Making strategic decisions: Every coach makes strategic decisions, from which players to field to how often to practice.
Decision mathematics is also called operations research. The idea is to use apply analytical methods to help solve problems and make better decisions. This can lead to managers making better decisions on how the business runs so it is more energy efficient.
Critical Path Analysis: Suppose that a new road is being constructed. People need to be hired, supplies brought in, permits gotten, etc. If you know how long each task should take, and how they are related, it can help you figure out when each task should start, leading to less congestion on alternate paths while the new road is built.
Bin Packing: Every shipping company deals with bin packing, whether it is container ships, airlines squashing your luggage into a cargo hold, or you moving to a new home. Being able to pack efficiently given the constraints of things like shape, weight, and size, can lead to enormous fuel savings and a cleaner environment.
Matching Problem: Have you taken a chemistry class? Then you know about covalent bonds. Matching problems are used for things like modelling the bonds in chemistry.
Route Inspection Problem: Over the river and through the woods, to Grandma's house you go! You have just inspected and chosen a route. If you use GPS apps to help you find directions, then you have worked with route inspection problems.
You have already seen several examples of the ways decision maths is used, but let's look at another.
Dynamic programming might sound like a way to have a really exciting event, but it is really a way to optimize things like recursion. Recursive solutions to problems involve repeated calls in a program using the same inputs and are used in things like calculating Fibonacci numbers. Using dynamic programming to decide when and how to save the results of these recursive calls can drastically reduce the time required for a program to run.
This isn't just a programming question though, this is a maths one as well. Have you ever needed to multiply two matrices together? How about three? What if you had to multiply together 150 matrices that were each 3000 by 3000 square? You would certainly want the fastest way to do that! Matrix chain multiplication is another example of the kinds of problems that dynamic programming can help you solve.
Dijkstra's algorithm calculates the shortest path between nodes in a graph.
The are graphs where the parts of the tree represent decisions, rules, and outcomes.
Decision maths, also known as operations research, is the study of using analytical models to make better decisions.
Decision maths is used to determine the decidability of a problem. For example, what is the most efficient route to deliver packages, and how to find it quickly.
No. Discrete math applies to a wide variety of topics, including difference equations. Decision math, also known as operations research, is the study of using analytical models to make better decisions.
Decision maths is the study of using analytical models to make better decisions.
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