On that linked page there is explained only a solving procedure for a 4x4x4 cube, nevertheless, it can be adapted to any other NxNxN cube. It is practical to somehow optimize the method on a bigger cubes, for example by solving of pieces of last 4 composite edges (i.e. the edges from a 3x3x3 cube point of view) in multiple layers at once, or by making some kind of "cleaning process" leading to faster solving of center pieces in the final phase of a solution. After all, a modification of the Cage method has been used even at solving of the 150x150x150 Rubik's cube (scroll down to the end of the linked page).

I'm writing something about the relation of 3x3x3 Rubiks cube and theory of computation. I've read some texts talking about the god's number and optimally solutions, but I still can't figure out if solving a rubiks cube optimally is P or NP, if it is P, there is an algorithm to solve it in polynomial time?


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Solving a 3x3x3 Rubik's cube is O(1). Solving an NxNxN Rubik's cube is almost certainly NP-hard, but I'm not sure if there's a rigorous proof of this. Maybe start looking here: -optimally-solving-the-nnn-rubiks-cube-np-hard

Well the number of moves being proportional to n^2 is just a reflection of the fact that more surface faces mean more moves, but why is this reduced by log(n) as the size of the cube goes up? There have to be increasing numbers of shortcuts to the simple solution as the cube gets bigger.

In addition the paper derives an asymptotically optimal solution for solving the general cube in the worst case. It also raises the question of whether finding an optimal solution to the general cube is NP hard or not.

** However, in rubik1 you will not find a cut and paste of Alex's original.

There are many changes in either goals (rubik1 is NOT a game per se!), programming gadgetry and mathematical approaches to 3D graphics and transforms. For example, Alex's cube is changing its 'skin' colors, a bit like a chameleon. 9af72c28ce

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