### Table 1: Comparison of Average Costs for Non-Uniform distribution

1996

"... In PAGE 23: ... During this period, if the system designer uses LU-PC instead of adaptive, the network load (in terms of number of messages) will increase by 12%. For the given call and mobility distribution (shown in Figure 14 and Figure 13), the total savings of adaptive over LU-PC is 4% and over LU-JU is 17% (as shown in Table1 ). Thus, the results show that a simple adaptive location management algorithm as shown in Figure 12 performs better than the static location management strategies for a wide range of call-mobility patterns.... ..."

Cited by 14

### Table 1: Comparison of Average Costs for Non-Uniform distribution

1996

"... In PAGE 23: ... During this period, if the system designer uses LU-PC instead of adaptive, the network load (in terms of number of messages) will increase by 12%. For the given call and mobility distribution (shown in Figure 14 and Figure 13), the total savings of adaptive over LU-PC is 4% and over LU-JU is 17% (as shown in Table1 ). Thus, the results show that a simple adaptive location management algorithm as shown in Figure 12 performs better than the static location management strategies for a wide range of call-mobility patterns.... ..."

Cited by 14

### TABLE I AVERAGED FWHM AND FWHM NON-UNIFORMITY (IN PARENTHESIS) AT THE SAME BACKGROUND NOISE.

### Table II. Error estimates for non-uniform meshes and the ratio to the actual error ( = 0:1)

### Table 6.6 Measures for the quality of the residual based error estimator on the unit cube (Exp. 6). Owing to the smooth solution adaptive re nement does not really pay o in this situation (cf. gure 6.1). Nevertheless, we report the quality measures in table 6.7 to show that non-uniform meshes do not make a di erence. Level 0 1 2 3 4 5 6

### Table 1. Estimation errors on artificial data of sample size n = 300, with K = 3 clusters. For uniform c, all clusters have equal size. For non-uniform c, cluster sizes differ.

### 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.... ..."

Cited by 38

### 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 .... ..."

Cited by 1