From What are Bloom filters? by Jamie Talbot

*Start at your starting point, and figure out how long it takes to get to each neighbour. Then go to each neighbour and figure out how long it cumulatively takes to get to each of its neighbours. (Don’t go back to points you’ve already visited.) If that cumulative total is shorter than the current shortest path to that point, replace the number for that point with the lower one. Repeat. Finish when you get to your ending point.*

From What are Bloom filters? by Jamie Talbot

There are literally thousands of named hashing functions. Some are secure, but comparatively slow to calculate. Some are very fast, but have more collisions. Some are close to perfectly uniformly distributed, but very hard to implement. You get the idea. If there’s one rule in programming it’s this: there will always be trade-offs.