### Table 4: Estimation of bene ts for di erent choices

2000

"... In PAGE 13: ... Therefore, the expected bene t is 1=2 1=18 day = 1=36 day. From this crude estimation, we can see that it is more e ective to select e2 for synchronization! Table4 shows the expected bene ts for several other scenarios. The second column shows the total synchronization frequencies (f1 + f2) and the third column shows how much of the synchro- nization is allocated to f1 and f2.... ..."

Cited by 127

### Table 1: Example: query re nement and expected bene t

2008

"... In PAGE 15: ...document in the ranked list of q0 to nq0 = rq P(qjq0)P 0(rq 1) (11) Based on these results, the bene t for moving from q0 to q can be estimated as nq0 nq. For illustration, let us return to our Java example in Table1 . Assuming that half of the documents in which all query terms occur are also relevant, and with an initial precision of P 0 = 0:5, we would get nq 2 in all cases.... ..."

### Table X. The Bene ts of Caching for Def-Use Chain Analysis

1997

Cited by 39

### Table III. Estimation of bene ts for di erent choices

2003

Cited by 29

### Table III. Estimation of bene ts for di erent choices

2003

Cited by 29

### Table 1: schedule examples 3.3 Bene ts

2000

"... In PAGE 10: ... The schedule includes a set of methods with starting time, expected quality, cost and duration. Table1 provides three schedule exam- ples for di erent criteria requirements. Based on this rst round scheduling, the agent tries to nd appropriate agents to perform those non-local tasks though GPGP module.... ..."

Cited by 5

### Table 1: The relative practical bene ts of SDPA and SDPA-C

2003

"... In PAGE 6: ...0 [30], which is the latest version of SDPA. Table1 shows numerical results obtained when solving two SDPs with SDPA 6.0 and with SDPA-C.... In PAGE 8: ... Problem C is an SDP relaxation of maximum clique problems which is described in section 4. The size of problem C is n = 300; m = 4375, while problem B is the same as the problem used in the numerical experiment of Table1 , with n = 1000 and m = 1891. Table 2: Numerical comparison between SDPA and SDPARA Problem C Problem B SDPA SDPARA SDPA SDPARA Computation of B 126.... ..."

Cited by 5

### Table 1: Flows, bene t, prices and rents as b23 is varied.

### Table 7.4. Number of wavelength in Benes network under SA with changing starting temperature in 8 x 8 Benes network (avg. of 1000 tests)

2005

### Table 7.5. Number of wavelength in Benes network under SA with changing starting temperature in 16 x 16 Benes network (avg. of 1000 tests)

2005