PageRank Calculation

Hi,
Academic citation literature has been applied to the web, largely by counting citations or backlinks to a given page. This gives some approximation of a page's importance or quality. PageRank extends this idea by not counting links from all pages equally, and by normalizing by the number of links on a page. PageRank is defined as follows:
We assume page A has pages T1...Tn which point to it (i.e., are citations). The parameter d is a damping factor which can be set between 0 and 1. We usually set d to 0.85. There are more details about d in the next section. Also C(A) is defined as the number of links going out of page A. The PageRank of a page A is given as follows:
PR(A) = (1-d) + d (PR(T1)/C(T1) + ... + PR(Tn)/C(Tn))
Note that the PageRanks form a probability distribution over web pages, so the sum of all web pages' PageRanks will be one.
PageRank or PR(A) can be calculated using a simple iterative algorithm, and corresponds to the principal eigenvector of the normalized link matrix of the web. Also, a PageRank for 26 million web pages can be computed in a few hours on a medium size workstation.
You can see: http://infolab.stanford.edu/~backrub/google.html
Thanks

this thread illustrates perfectly why computers were invented.

leave it to the machines my friend.

it gives me a headache to visualize of how google do it, I rather focus more on how to get more traffic to my site...

But still I cannot understand how the Google calculate the page rank

it's really hard to figure out how their algorithm goes though the main thing for it would be links

this calculation made me sick. I'll just wait Google for that.