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In our case this would be the covariance matrix of a set of twolevel tasks The analysis seeks to identify hidden factors called the principal components which turn out to be eigenvectors of the sample covariance matrix The matrix s eigenvalues represent variation of the principal components; the sum of eigenvalues is the total variance of the original sample data and is equal to the sum of variances of the original variables With the principal components (eigenvectors) conveniently ordered from the largest to the smallest, the rst component accounts for most of the total variance in the sample data, the second component accounts for the next biggest part of the total variance, and so on The rst component can thus be called the most important hidden factor, and so on.

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It is possible for a multicycle path to still fail timing, but a false path will never have any associated timing violations..

This ordering sometimes allows the researcher to (a) drop the last few components if they account for too small a part of the total variance and (b) claim that the data can be adequately described via a smaller set of variables Often attempts are made to interpret the hidden factors in physical terms, arguing that if the hidden factors could be measured directly they would allow a signi cantly better description of the phenomenon under discussion..

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ME: All of them. But first I need to talk to George Sisler again. GEORGE: Sisler The hedge fund guy You re going to talk to him ME: Yes. If I can. I met him last week and he wanted me to do some research into interest rates which I ve done. But now I have more questions than answers. GEORGE: Mind if I come with you ME: I don t mind at all. I m not sure he ll actually meet with me. But I am going to try.

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Let X be the column matrix of the original sample data; its element xij is the value of the j th sample variable (the j th column vector of X) for the ith observation row vector (the ith subject, ith row of X). Denote the covariance matrix computed from the sample matrix X by R. Let matrix A contain as its column vectors the eigenvectors of matrix R: The ith column of A is the ith principal component of R. Both R and A are square matrices of the same rank (normally equal to the number of sample variables). Matrix A can then be seen as a transformation matrix that relates the original data to the principal components: Each original data point (described by a row vector of X) can now be described in terms of new coordinates (principal components), as a row vector z; hence Z=X*A (7.1) Let matrix be a diagonal matrix of the same rank, with eigenvalues of R in its diagonal positions, ordered from largest to smallest. The matrix of principal component loadings, denoted by L, is L=A*

It is possible for a multicycle path to fail timing even with an arbitrarily high cycle constraint, but it is not possible for false paths to fail timing.

(7.2)

doubted that George Sisler would talk to me without Harvey. Anyone running a zillion-dollar hedge fund wasn t going to just waste his time on someone like me. Perhaps Harvey had told George that I had taken harebrained trades and lost my account, in which case a meeting with George would even be less likely. So I was surprised when George took my call the next day. I called him as soon as I arrived at Wakeman at 7:00 A.M., and he picked up the phone. George Sisler. I had anticipated a secretary or a receptionist. I paused to collect my thoughts, and in that small amount of time, George hung up the phone. Obviously, he was very busy. I called and this time he answered again: George Sisler. Who is this It s Harry Banes. The guy that Harry! Did you do your interest rate homework I did. I did a lot of work. But I have some questions before I can continue. I ll see you at lunch, he told me, and then he hung up. I worked my brains out that morning so that I could spare a couple of hours for lunch. It had been a personal goal of mine to not leave for lunch at all in the next few weeks, so that I could pay back time lost at the firm. But a meeting with George Sisler took precedence over that for now. At lunchtime, I hopped in a cab and hoped that I wasn t making a mistake by showing up without Harvey.

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