Karger's algorithm
Karger's algorithm is a way to find the minimum cut in a graph. A graph is like a picture of connections between things, like people or places. Imagine a bunch of dots connected by lines, like a spider web.
A minimum cut is the fewest number of lines you can cut to separate the graph into two smaller graphs. It's like cutting a spider web into two parts.
Karger's algorithm works by randomly cutting the graph many times and keeping track of which cuts have the fewest number of lines. It's like playing a game where you randomly cut the spider web and see if it splits into two parts. You do this many times to find the best cut.
Once you find the minimum cut, you can use it to solve problems like finding the best way to divide up resources between different people or finding out which groups of people are most closely connected.
Karger's algorithm is helpful because it can quickly find a good solution for very large graphs. Like if you had a spider web with a million dots, it would be very hard to just try to cut it yourself, but Karger's algorithm can do it easily!
A minimum cut is the fewest number of lines you can cut to separate the graph into two smaller graphs. It's like cutting a spider web into two parts.
Karger's algorithm works by randomly cutting the graph many times and keeping track of which cuts have the fewest number of lines. It's like playing a game where you randomly cut the spider web and see if it splits into two parts. You do this many times to find the best cut.
Once you find the minimum cut, you can use it to solve problems like finding the best way to divide up resources between different people or finding out which groups of people are most closely connected.
Karger's algorithm is helpful because it can quickly find a good solution for very large graphs. Like if you had a spider web with a million dots, it would be very hard to just try to cut it yourself, but Karger's algorithm can do it easily!