Tree Size by Partial Backtracking
Paul Walton Purdom · SIAM Journal on Computing · 1978
Knuth [1] recently showed how to estimate the size of a backtrack tree by repeatedly following random paths from the root. Often the efficiency of his method can be greatly improved by occasionally following more than one path from a node. This results in estimating the size of the backtrack tree by doing a very abbreviated partial backtrack search. An analysis shows that this modification results in an improvement which increases exponentially with the height of the tree. Experimental results for a particular tree of height 84 show an order of magnitude improvement. The measuring method is easy to add to a backtrack program.