### Table 7: Clusters with Complete Mutual Influence among Members Cluster

"... In PAGE 16: ...0 indicating a complete component, all villagers able to influence each other directly. Table7 below summarizes the cluster membership of these 19 mutually influential groups, which can be conceptualized as potential coalitions. These clusters are based on the distances from the adjacency matrix of the villagers, Johnson clustering was used (Borgatti , Everett, and Freeman, 2002).... ..."

### Table 3. Di erential analysis for an arbitrary number of rounds. (ylog2)

1998

"... In PAGE 11: ... This results in an improvement of the signal-to-noise-ratio by a factor of 232 pc, where pc represents the factor by which the probability of the characteristic is reduced when we perform a 1R-attack instead of a 2R-attack. Results for an arbitrary number of rounds Table3 lists for each number of rounds: the probability of the characteristic, the required number of chosen plaintexts (assuming 4 right pairs for the characteristic are su cient, and that we need both guesses for the permutation key bit in the rst round structure),... In PAGE 12: ...5 Key dependency of the attacks We described the previous attacks using the best conditional characteristic. In Table3 we have listed for how many keys this works. For Thin-ICE the attack works for a fraction 2?2 of the keys.... ..."

Cited by 1

### Table 1: Numerical implementation of the geometrical equations. A diamond( ) denotes an arbitrary number. type example numericalformat

"... In PAGE 2: ...3 NumericalNotation Since we want to use the formal results in numerical sim- ulation, we need ways to represent the geometrical ideas in vectors and matrices. If we use the formats denoted in Table1 , then the geometric equations in the following sections can be implementeddirectly into numericalequa- tions.For example, say that we want to compute the map- ping g and we only have a representation in local coor- dinates, i.... ..."

### Table 1.2: Approximation ratios for QoSMT problem with an arbitrary number of rates.

2005

### Table 1: A lookup table that contains the breakpoints that divide a Gaussian distribution into an arbitrary number (from 3 to 6) of equiprobable regions.

2007

"... In PAGE 4: ... These breakpoints may be determined by looking them up in a statistical table. For example Table1 gives the breakpoints for values of a from 3 to 6. Table 1: A lookup table that contains the breakpoints that divide a Gaussian distribution into an arbitrary number (from 3 to 6) of equiprobable regions.... ..."

Cited by 1

### Table 3: A lookup table that contains the breakpoints that divide a Gaussian distribution in an arbitrary number (from 3 to 10) of equiprobable regions

2003

"... In PAGE 4: ... These breakpoints may be determined by looking them up in a statistical table. For example, Table3 gives the breakpoints for ... ..."

Cited by 77

### Table 3: A lookup table that contains the breakpoints that divide a Gaussian distribution in an arbitrary number (from 3 to 10) of equiprobable regions

2003

"... In PAGE 4: ... These breakpoints may be determined by looking them up in a statistical table. For example, Table3 gives the breakpoints for ... ..."

Cited by 77

### Table 3: A lookup table that contains the breakpoints that divide a Gaussian distribution in an arbitrary number (from 3 to 10) of equiprobable regions

2003

"... In PAGE 4: ... These breakpoints may be determined by looking them up in a statistical table. For example, Table3 gives the breakpoints for ... ..."

Cited by 77

2002

"... In PAGE 4: ... These breakpoints may be determined by looking them up in a statistical table. For example, Table3 gives the breakpoints for values of a from 3 to 10. Note that in this example the 3 symbols, a , b and c are approximately equiprobable as we desired.... ..."

Cited by 35