hypercube

It had 128 nodes, each of which was a 80286 with 512k of RAM, connected in an hypercube configuration.

A subset of non binary thinking (see Kosko, the model of probability and the hypercube, etc).

Also, the CM-5 moved away from the hypercube topology of the CM-2 to a fat tree.

The text was also changed just a minute ago to remove a plug for HyperCube.

It's not so easy any more if you try to rotate the hypercube and have to visualize intersections with arbitrary hyperplanes.

Should you be able to slice out an arbitrary sub-hypercube of an N-dimensional array?

The hypercube's pretty easy to understand in the orthogonal projection, but for anything more complicated than a 24-cell, parallel coordinates really helps.

Note that the unit hypercube (surface) aligned with the axis will not converge to a normal (regardless of orientation?), it stays uniform instead.

But remember most of those nodes are shared by more than one cube/hypercube.

So the corners of our hypercube can only move to 4 other spaces.

For instance, utilizing the Latin Hypercube method will sample more evenly from a Gaussian distribution rather than pulling more from the peak and tails.

Consider encoding information in a 4-cube (hypercube) constrained by Maxwell's equations.

That's 8 3x3x3 cubes that make up the "faces" of the hypercube, and each cube has 8 2x2x2 smaller cubes in it.

It's the "Probability and the hypercube," model, put forth in Kosk's 90's book.

My favorite phrase in this article was "four-dimensional enraged-leprechaun hypercube visualization".

The original text included something along the lines of "Clearly there are big problems with Android, which is why we started HyperCube..."

Hypercube - you see every tx as an edge in the hypercube.

I think it might have been called Hypercube, and thought this article might have been about it.