### Table 3: Time complexity of some square matrix multiplication algorithms.

### Table I Regression Coefficients and Standard Deviations for Expected Distances ^dij amp; Depending on k

1994

### Table 9: MBI matrix for squared Euclidean distance.

2004

"... In PAGE 58: ... Using Table 8, we can exactly compute each of the relevant conditional expectations, which requires O(mn) operations. Though we do not explicitly compute it, the MBI matrix Z (shown in Table9 ) can be expressed in terms of the row clustering R, column clustering C and these conditional expectations for any co-clustering basis. 2.... ..."

Cited by 21

### Table 4. Times for QR factorizations of square matrices. Matrix Cube

1994

"... In PAGE 20: ...1, we ran a sequence of factorizations in which the memory required per processor remained constant, allowing us to compute scaled speedups. The results are presented in Table4 . As before, the e ciencies greater than one are due to longer vectors in the BLAS routines.... ..."

Cited by 60

### Table 4. Times for QR factorizations of square matrices. Matrix Cube

1994

"... In PAGE 20: ...1, we ran a sequence of factorizations in which the memory required per processor remained constant, allowing us to compute scaled speedups. The results are presented in Table4 . As before, the e ciencies greater than one are due to longer vectors in the BLAS routines.... ..."

Cited by 60

### Table 5.2: Square matrix multiplication performance in the test framework at 100 MHz,

### Table 5.6: Square matrix multiplication performance on MOLEN at 100 MHz, in

### Table 8: discriminant validity of constructs (correlation matrix and square roots of AVE)

2005

"... In PAGE 19: ... The test requires that the correlation be smaller than the average of the two root- squared AVEs meaning that the variance shared between any two constructs is less than the AVE by the constructs. The results of this discriminant validity analysis are displayed in Table8 . Diagonal elements, which should be larger than any other corresponding row or column elements, show the square root of the AVE, whereas the off-diagonal elements show the construct correlations.... ..."

Cited by 3