### Table 3: Optimal width and width distribution for S

2001

"... In PAGE 14: ... If an upper bound T = 430000 cycles is placed on the testing time, then Theorem 5 yields max j fw j g =22. As demonstrated in Table3 , this lower bound on the test bus width is achieved using the ILP model for P3, hence Theorem 5 provides a tightlower bound. 4 Case studies In this section, we present case studies using S 1 and S 2 for the optimization problems P2 and P3.... In PAGE 15: ... Any further increase in the system test width W does not decrease testing time since the widest test bus can be at most min i f#1E i g =32 bits. Table3 shows the optimal width and width distribution for S 1 and S 2 with two test buses for various values of the maximum testing time T . In Figure 9, we report experimental data for P2 and P3 when S 1 contains three test buses.... ..."

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### Table 2 Heterogeneous Speed Overlay Results

2006

"... In PAGE 12: ... Finally, each scenario is repeated on a T1 and T2 network. Results are presented in Table2 . The column Runs provides a reference label for each of the 25... ..."

### Table 2. statistics for classic tables with distinguished points and for rainbow tables

"... In PAGE 8: ... Knowing this, it is now interesting to compare the cryptanalysis time of both methods since rainbow ta- bles should be twice as fast. In Table2 we compare the mean cryptanalysis time, the mean number of hash operations per cryptanalysis and the mean number of... In PAGE 9: ...t the longer chains (i.e. starting at the columns more to the left of a table). Fortunately, this is also where the part of the chain that has to be generated to confirm the false alarms is the shortest. Both these effects can be seen in Table2 by looking at the number of endpoints found, the number of false alarms and the number of calculations per false alarm, in case of failure. With distinguished points each matching point generates about 4 false alarms and the mean length of the chains generated is about 9600.... ..."

### Table 1. Comparison of structures of Rainbow Cube and Rubic Cube.

2004

"... In PAGE 11: ... However, CUB is cuboctahedron in shape, its structure corresponding to an FCCP crystal system having four rotation axes with 3-fold symmetry. The comparison of the structures of the two puzzles is summarized in Table1 . Because of the inversion center in CUB with fourteen facets, there are seven independent facet, namely, four triangles and three squares.... ..."

### Table 4 indicate that altruism tends to converge faster to a single stable level when more energy is provided by the environment.

2002

"... In PAGE 10: ... Table4 : Percentage of altruism (1=100%) evolving in the population as the sharing strat- egy and level of energy (resources) available are varied.... In PAGE 11: ... (For the third chart, where the level of mutation is at 0.001, note that it is just an extension of chart eight in Table4 : Progressive Taxation with 2.5M energy units, the same experimental setup, but run for three times as long.... ..."

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### Table 4 indicate that altruism tends to converge faster to a single stable level when more energy is provided by the environment.

2002

"... In PAGE 10: ... Table4 : Percentage of altruism (1=100%) evolving in the population as the sharing strat- egy and level of energy (resources) available are varied.... In PAGE 11: ... (For the third chart, where the level of mutation is at 0.001, note that it is just an extension of chart eight in Table4 : Progressive Taxation with 2.5M energy units, the same experimental setup, but run for three times as long.... ..."

Cited by 6

### Table 4 indicate that altruism tends to converge faster to a single stable level when more energy is provided by the environment.

2002

"... In PAGE 10: ... Table4 : Percentage of altruism (1=100%) evolving in the population as the sharing strat- egy and level of energy (resources) available are varied.... In PAGE 11: ... (For the third chart, where the level of mutation is at 0.001, note that it is just an extension of chart eight in Table4 : Progressive Taxation with 2.5M energy units, the same experimental setup, but run for three times as long.... ..."

Cited by 6

### Table 12: Improvements in execution speed moving from slower to faster platform. Counts only problems that were solved on both platforms. For faster and slower, the mean and standard deviation (Sd) of di erence is also provided.

2002

"... In PAGE 22: ... As before, we also looked at change in time to solution. Table12 shows how the time to solution changes for each planner. Not surprisingly, faster processor and more memory nearly always lead to better performance.... ..."

Cited by 10