Source: Digital Plumber
Part 1: A network of nodes is defined by a list of lines formatted as such:
2 <-> 0, 3, 4
Part 1: A network of nodes is defined by a list of lines formatted as such:
2 <-> 0, 3, 4
If you were paying attention when I posted part 2 to GitHub (pegs.rkt), you might have noticed a function I hadn’t talked about: play
Hey, remember that post a few days ago about the Cracker Barrel peg game? Right at the end, I mentioned that there would be a part two, all about how to bend the puzzle at least a bit to your advantage. Basically, rather than finding the first solution to the peg game, we’re going to find all of them. From there, we can determine which moves are easier to win from, which are harder, and which are downright impossible. Let’s do it!
Ever been to Cracker Barrel? Remember that peg game? It seems that rather a few people are interested in how to solve it: Google. Let’s do that.
Here’s another one from /r/dailyprogrammer:
… Your goal is to color a map of these regions with two requirements: 1) make sure that each adjacent department do not share a color, so you can clearly distinguish each department, and 2) minimize these numbers of colors.
Essentially, graph coloring.
Here’s a quick problem from the DailyProgrammer subreddit. Basically, we want to calculate the radius of a graph:
radius(g) = \min\limits_{n_0 \in g} \max\limits_{n_1 \in g} d_g(n_0, n_1)
Another quick one, this time from /r/dailyprogrammer:
Your goal is to write a program that takes in a list of edge-node relationships, and print a directed adjacency matrix for it. Our convention will follow that rows point to columns. Follow the examples for clarification of this convention.
Yesterday, the daily programmer Subreddit had a post that mirrored a problem I’ve often seen before: the idea that if you follow first links ((With some caveats)) on Wikipedia, you eventually end with Philosophy. For example, if you follow the first links from Molecule, you get the following path:
Molecule → Atom → Matter → Rest Mass → Invariant Mass → Energy → Kinetic Energy → Physics → Natural Philosophy → Philosophy