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Googlism.com will find out what Google.com thinks of you, your friends or anything! Search for your name here or for a good laugh check out some of the popular Googlisms below. "Thanks for the total roxority that is googlism" - Greg Pallis |
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x and yx and y is given as x and y is the sum of the pth powers of x and y divided by the sum of the x and y is the stuff of genetics 101 x and y is a normalised verison of the x and y is x and y is defined as f x and y is the stuff x and y is a function whose domain is the set of ordered pairs x and y is defined to be x and y is the unique optimal translation for every feasible flow x and y is the m × n matrix cov x and y is xy = e x and y is defined by f x and y is 4 x and y is nonlinear x and y is given by x and y is odd x and y is defined as the covariance of x with y x and y is a string x and y is from 1 to 1000 x and y is to test the hypotheses x and y is denoted by lcs x and y is positive x and y is p x and y is given by y x and y is known x and y is zero x and y is given below x and y is strengthened over x and y is $1 x and y is thus sufficient x and y is measured by the molecular similarity index x and y is n x and y is as sp x and y is to determine which of the following is true x and y is x x and y is a subset of a b x and y is the same x and y is a quiet x and y is always ‘1’ when they are in separate terms and x and y is everywhere the same x and y is defined as not x and y is defined as x and y is an element of s x and y is given by m x x and y is p x y x y p x x y y joint pmf x and y is given by p x and y is odd and the other is even x and y is not a set x and y is called the join of x and y x and y is a new sequence of type result x and y is a descendant x and y is the correlation coefficient of x and y which x and y is cov x and y is = cov x and y is context x and y is a subsequence x and y is given by the slepian x and y is identical to bilinear interpolation x and y is a subset of their direct sum x and y is exponentially dependent on n x and y is a map such that for all and all x and y is z'' x and y is one since x and y is the largest integer that evenly divides both x and y x and y is defined by x and y is concordant or x and y is the variable x and y is the probability pr x and y is at most 1 x and y is correlated to a similar sequence for synthesis parameters f x and y is a number between x and y is defined as follows x and y is simply a function of ``degree 1'' in x and y; that is x and y is the ordinary | ||||||||||||||||||
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