### Table 3: The ratio of distances between consecutive zeros calculated using piecewise cubic C0 elements on a sequence of non-uniformly re ned grids on a quarter of the unit square domain.

1999

"... In PAGE 14: ... (Recall from section 2 that rn is the distance along the bisector of the angle to the nth local extremal value of the eigenfunction u, tn is the magnitude of this extremum, and sn the distance to the nth zero.) In Table3 we present some numerical results for the rst of these ratios, obtained by solving (1) on the unit square using piecewise cubic C0 elements on a sequence of unstructured meshes over a quarter of the domain (making use of symmetry at x = 1=2 and y = 1=2 and applying appropriate Neumann conditions at these boundaries). N denotes the dimension of the linear system resulting from each of the non-uniformly re ned meshes, which are designed to allow greater resolution of the eigenfunction in the corner.... ..."

Cited by 2

### Table 2. The distribution of the data in non-uniformly

1992

"... In PAGE 22: ... Table2 shows the distribution of the data in the non-uniformly distributed #0Cles among 3 disks. Number of Data Distribution on Disks Records Number of Blocks Number of Blocks Number of Blocks in Files on Disk 1 on Disk 2 on Disk 3 1000 14 13 14 10000 138 138 137 15000 209 210 208 20000 279 279 279 Table 1.... In PAGE 22: ... Table 1 shows that the data in the uniformly distributed #0Cles is evenly distributed among disks. Table2 shows that the data in the non-uniformly distributed #0Cles is nearly equally distributed among disks even without using any rebalancing algorithm. Performance of range query processing.... ..."

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### Table 7: Non-uniform Input

1998

"... In PAGE 9: ...93 0.9506 66990 Table 6: Di#0Berent Symbol Ratios InputClass = Uniform, m =2;n= 1000;k =2;p=#28Ratio; 1 , Ratio#29 Table7 shows selected experiments with input generated from non-uniform probability distributions The probability distribution of each0; 1-input string is described by a linear functions de#0Cned over its length. For simpli#0Ccation, this function is de#0Cned by the line connecting the probabilityvalues of the leftmost string symbol p l and the rightmost string symbol p r .... ..."

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### Table 2: Parameters for non-uniform distribution

### Table 3: Parameters for non-uniform capacity

### Table2. Computational results of non-uniform traffic demand

1996

"... In PAGE 6: ...he second system tested has a non-uniform demand. It has 12 nodes and its reception capacity is 3. We generate 20 different traffic demands in the range of 2 - 6. Table2 is the computational results of our ... ..."

### Table 5 - Computed Stresses (Non-Uniform Model)

"... In PAGE 8: ...able 4 - Computed Stresses (Uniform Model)............................... 29 Table5... In PAGE 37: ... For the linearly decreasing pressure case it occurs at 41%, and for the linearly increasing pressure case it is roughly 28%. Table5 lists the maximum Von Mises stresses achieved for each load case at each level of deterioration investigated using the non-uniform model. The data are also presented in graphical form in Figure 13.... ..."

### Table 2: Breakdown of scan-related commands seen on tracked botnets during the measurement period.

"... In PAGE 7: ... This highly fluid nature also complicates the task of generating signatures that can identify their activity with high accuracy. Table2 summarizes the most common scanning practices used by Type-II botnets. As the table shows, localized and non-uniform scanning are the predominant scanning techniques.... ..."

### Table 4: CPU time (hours) to detect 80% of total faults. non-uniform A uniform non-uniform B

2000

"... In PAGE 17: ... Now consider an evaluation of e ciency for exposing 80% of the faults for each type of fault distribution and each execution strategy. Table4 presents the CPU time required to detect 80% of all faults in a program for the three fault distribution patterns and six execution patterns. Overall, uniform execution of the code with a uniform fault distribution takes less CPU time to expose 80% of the faults; biased executions take less CPU time for those programs with non- uniform fault distributions.... ..."

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### TABLE III Average retrieval cost with non-uniform file size

2003

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