### Numbering atoms, numbering vertices

Further to the similarities between numbering atoms in a structure, and generating unique graphs here is this:

which shows the same molecule with two different numberings on the left, and the resulting graphs on the right. The double bond is not shown on the graphs; but it would probably have to be a labelling of the edge, rather than an actual multiple edge, to still be a simple graph.

So, this quickly shows how - if you start with the vertices of the graph and connect 'all possible ways' - you get molecules that are isomorphic, but numbered differently. Therefore (perhaps) the numbering of the vertices and edges is one of he keys to not creating all the isomorphs and then having to expensively check them all.

If I understood correctly, the trick is to detect of the numbering your started is unique. The code that the CDK deterministic generated was using, was using this approach. It would exhaustively test all possible graphs, but would stop testing a particular solution if it did not meet some uniqueness evaluation. For this it used a some normalized matrix representation of the graph, from which it started left top and scan the top left row*col to see if it matched this evaluation.

How does that relate to your above analysis?
gilleain said…
That seems like the kind of approach, yes. The trick is to know not to try a particular graph without actually generating it, let alone then testing it against example stored in memory.

It could really be any mechanism, but there should be some rule to say "try only these possible bonds" rather than a method to find out which ones turn out to be the wrong ones.

### How many isomers of C4H11N are there?

One of the most popular queries that lands people at this blog is about the isomers of C4H11N - which I suspect may be some kind of organic chemistry question on student homework. In any case, this post will describe how to find all members of a small space like this by hand rather than using software.

Firstly, lets connect all the hydrogens to the heavy atoms (C and N, in this case). For example:

Now eleven hydrogens can be distributed among these five heavy atoms in various ways. In fact this is the problem of partitioning a number into a list of other numbers which I've talked about before. These partitions and (possible) fragment lists are shown here:

One thing to notice is that all partitions have to have 5 parts - even if one of those parts is 0. That's not strictly a partition anymore, but never mind. The other important point is that some of the partitions lead to multiple fragment lists - [3, 3, 2, 2, 1] could have a CH+NH2 or an NH+CH2.

The final step is to connect u…

### Generating Dungeons With BSP Trees or Sliceable Rectangles

So, I admit that the original reason for looking at sliceable rectangles was because of this gaming stackoverflow question about generating dungeon maps. The approach described there uses something called a binary split partition tree (BSP Tree) that's usually used in the context of 3D - notably in the rendering engine of the game Doom. Here is a BSP tree, as an example:

In the image, we have a sliced rectangle on the left, with the final rectangles labelled with letters (A-E) and the slices with numbers (1-4). The corresponding tree is on the right, with the slices as internal nodes labelled with 'h' for horizontal and 'v' for vertical. Naturally, only the leaves correspond to rectangles, and each internal node has two children - it's a binary tree.

So what is the connection between such trees and the sliceable dual graphs? Well, the rectangles are related in exactly the expected way:

Here, the same BSP tree is on the left (without some labels), and the slicea…

### Listing Degree Restricted Trees

Although stack overflow is generally just an endless source of questions on the lines of "HALP plz give CODES!? ... NOT homeWORK!! - don't close :(" occasionally you get more interesting ones. For example this one that asks about degree-restricted trees. Also there's some stuff about vertex labelling, but I think I've slightly missed something there.

In any case, lets look at the simpler problem : listing non-isomorphic trees with max degree 3. It's a nice small example of a general approach that I've been thinking about. The idea is to:
Given N vertices, partition 2(N - 1) into N parts of at most 3 -> D = {d0, d1, ... }For each d_i in D, connect the degrees in all possible ways that make trees.Filter out duplicates within each set generated by some d_i. Hmm. Sure would be nice to have maths formatting on blogger....

Anyway, look at this example for partitioning 12 into 7 parts:

At the top are the partitions, in the middle the trees (colored by degree) …