### Table 5: Some of the performance factors on three imple- mentations of FFT, determined experimentally. E is the execution time of each implementation. The other factors are defined in Section 4.

1999

Cited by 1

### Table 5: Some of the performance factors on three imple- mentations of FFT, determined experimentally. E is the execution time of each implementation. The other factors are defined in Section 4.

1999

Cited by 1

### Table 3. Total number of atomic steps to be executed in order to test all orderings or the sub- set defined in section 5 (pipelined parallel LU factorization).

2007

"... In PAGE 6: ... Test- ing all orderings for an application run on 8 processes takes about 105 minutes for a grayscale image of size 256 x 256 pixels. Finally, Table3 presents the results of our techniques running on a parallel block LU factorization application. The matrix size is given by n, while b specifies the size of a block within the matrix.... In PAGE 6: ... Since the iterations of the com- putation are loosely synchronized in order to maximize the pipelining of the computation, subgroups contain many messages with little dependencies between each other, causing the number of atomic steps to be executed to explode: we could only compute it for n/b=3 and using the full subgroup decomposition with partial-order reduc- tion. It remains however possible to test a subset of possi- ble orderings using the algorithm described in section 5, as shown by the last line of Table3 . The partial test for a 160x160 matrix with n/b=5 takes about 30 minutes.... ..."

Cited by 1

### Table 1 Exchange rates: posterior means and standard deviations (in parenthesis) for the fixed parameters defining the stochastic volatility equations for both common and specific factors

2007

"... In PAGE 6: ... In general the results were pretty much the same, with the chain converging, in practical terms, after 20,000 iterations. Inference for parameters defining the SV equations for both the common factor variances and for the idiosyncratic variances are summarized in Table1 .... ..."

### Table 0.1 shows the quadratic rate of convergence, defined using a relation similar to equation (8) for the coefficients of the two factors, A and B.

1998

Cited by 10

### Table 1 shows the quadratic rate of convergence, defined using a relation similar to equation (8) for the coefficients of the two factors, A and B.

"... In PAGE 8: ...0000000000 0.0000000000 Table1 : Convergence rate In another example, we analyzed the rate of convergence of the Wilson-Burg method. We selected a simple polynomial which is the cross-correlation of two triangle functions,... ..."

### Table 1 shows the quadratic rate of convergence, defined using a relation similar to equation (8) for the coefficients of the two factors, A and B.

"... In PAGE 8: ...0000000000 0.0000000000 Table1 : Convergence rate In another example, we analyzed the rate of convergence of the Wilson-Burg method. We selected a simple polynomial which is the cross-correlation of two triangle functions,... ..."

### Table 1. Gross fixed capital formation, gross domestic saving, and net imports of goods and non- factor services (per cent of GDP)

"... In PAGE 5: ... (b) Macroeconomic adjustment: In the early 1980s, the debt crisis forced Ecuador, like many other economies, to undergo macroeconomic adjustment. To maintain debt service while limiting external-debt growth, it shifted in the mid-1980s from being a net importer to a net exporter of goods and non-factor services (see Table1 and Figure 2). (Net exports returned to deficit in 1987, when an earthquake interrupted oil exports, and in 1998, when the exogenous shocks that set off the crisis reduced exports while anticipated exchange-rate depreciation encouraged imports.... ..."

### Table 3. Choice of confidence factor functions for evidence sources. The columns invert, greatest lower bound, and sigmoid transient define the function parameters

"... In PAGE 4: ...Safranek et al., 1990). More information about the choice of confidence factor functions (cf), basic probability assign- ments (cfa) and the combination rules can be found in the appendix. The design of these functions and probabilities (see Table3 ) represents a crucial step. However, our tests with the analysis of very different serial data sets showed that only mi- nor parameter adjustments were necessary.... ..."

### Table 2 is defined by

1997

"... In PAGE 5: ... Unfortunately, it was not possible to obtain a unique expression for the sup- pression factor for all eight sleeves. The individual expressions are given in Table2 . Although the number of data points for each expression is limited, the fit was extremely good with a variation of less than 3%.... ..."