### Table 8 Estimates of AR(2) Model

"... In PAGE 16: ...can be computed using the pricing formula in equation (10). Table8 summarizes the calibration results of this AR(2) model (with normal in- novation) to the mean term structure of cap vols for the four major industrial coun- tries, using the yield curves implied from the mean swap rates and mean LIBOR rates. We can t the mean vol curve almost perfectly, but the parameter estimates are still far o compared with those estimated from the underlying LIBOR rates.... In PAGE 21: ... Both features imply that investors expect much less control from the Japanese government on the short rate uctuation.3 We did a simple calibration of the intervention model by backing out the policy parameter from the implied estimates of the AR(2) process in Table8 . The results are summarized in Table 11.... In PAGE 48: ...965 0.5246 Entries for apos;1 and apos;2 are estimates, reported in Table8 , of an AR(2) process for the six-month LIBOR, implied from the mean-term structures of the cap vols. Entries for and are implied monetary policy parameters based on the \Federal Inter- vention quot; model in (24) and (25).... ..."

### Table 4.4 Main simulation results of count-based systematic sampling and count-based simple random sampling (true values are: = 86:824 ms, 2 = 8529). Sampling method M AMean AV ar MSE

2006

### Table 5. Performance of PVM over several ar- chitectures.

1996

"... In PAGE 4: ...The results in Table5 , obtained from a simple ping-pong test, suggest that (1) the introduction of ATM enables faster communications, as expected, and (2) the direct access to... ..."

Cited by 4

### Table 7. Homology computation time in seconds of Klein bottle in various sizes for AR and LS.

"... In PAGE 24: ... Comparison of ASLTsh and LS on an un- masked example from Cahn-Hilliard equation. Table7 compares AR against LS, the best performing homology algorithm based on LinBox software for Smith Normal Form combined with a simple form of reduction based on eliminating rows and columns with exactly one non-zero entry. The table shows that the performance of AR and LS is comparable for small sizes of our four dimensional representation of Klein bottle, but AR is significantly better for large sizes.... ..."

Cited by 1

### Table 4: Incremental Cost of Remote Invocation Parameters: elapsed time in addition to a call-by-reference invocation

2007

"... In PAGE 41: ... The timings are shown in Table 3. Table4 shows the benefit of call by move for a simple ar- gument object containing only a few variables with a total size of less than 100 bytes. The additional cost of call by move over call by reference is 3.... ..."

Cited by 1

### Table 4: Formulas for cost of actions in CPU instructions

"... In PAGE 6: ... CPU Consumption. Table4 lists the basic formulas for the cost of actions in CPU instructions, for the simple ar- chitecture. In this table, we see that the cost of a query is a function of the number of total and remote results returned, the cost of logging on is a linear function of the size of the library, and the cost of a download is constant.... ..."

### Table 4: Formulas for cost of actions in CPU instructions

"... In PAGE 6: ... CPU Consumption. Table4 lists the basic formulas for the cost of actions in CPU instructions, for the simple ar- chitecture. In this table, we see that the cost of a query is a function of the number of total and remote results returned, the cost of logging on is a linear function of the size of the library, and the cost of a download is constant.... ..."

### Table 3 Qualitative comparison of Grid discovery systems based on unstructured P2P ar-

"... In PAGE 16: ... All this strategies experimented sig- niflcant beneflts with respect to naive techniques, such as simple ooding. Table3 summarizes the main features of the unstructured systems described above in terms of architecture, resource indexing, and query resolution. Table 3 Qualitative comparison of Grid discovery systems based on unstructured P2P ar-... ..."

### Table 5: Number of unique specifications in the Arbitrary Range (AR) and Exact Match (EM) port classes for source and destination port ranges.

"... In PAGE 33: ... Checking for matches in the first three classes is trivial. As shown in Table5 , the number of unique specifications in the AR class is small relative to the size of the filter set. Consisting of 50 ranges, the largest set of arbitrary ranges may be efficiently searched using a simple interval tree.... ..."

### Table 10. Results from simple pivoting

"... In PAGE 16: ... 10. The EWF and AR optimal Pareto-base curves when using the library from Table 8 latency axis are presented in Table10 . Note that the 0% column corresponds to an immediate pivot to area-axis exploration, and the 100% column corresponds to using solely latency-axis exploration.... In PAGE 17: ... Looking at Table 11, the rst example shown (DIFFEQ) is small enough that 5% of the time constraints is statistically insigni cant, leading to results that are dominated by the area-axis exploration. However, the EWF results give a strong argument for using dynamic pivoting { here a bad a priori choice of using only latency-axis exploration or area-axis exploration (as shown in Table10 ) could lead to a signi cantly larger execution time than 15% dynamic pivoting. 9.... ..."