### Table 5. Modeled and measured strain in pristine and oxidized porous silicon. Oxidation extent

"... In PAGE 40: ... The finite element method and the developed unit cell structure with the proper loading conditions made possible to understand and confirm the phenomena behind the residual strain formed, when oxidizing the porous silicon surface. The measured results of average strain ( Table5 ) are in good agreement with those published by Buttard et al.... ..."

### Table 1 to adjust the model to environmental conditions. The initial state for each cell equals to s(t = 0) := ( 7; :::; 7; 0; ), where denotes the ltering function which maps the scanned picture (Fig. 1) onto the lattice grid (grain or pore space). Then the ow pattern of interstitial water in the porous microstructure is simulated. After the LBA has converged, a stable ow pattern through the sediment can be observed and visualized (Fig. 4). Based on the obtained

"... In PAGE 12: ...Table1... In PAGE 14: ... For examination of the model stability a sensitive analysis is carried out. For each input parameter (see Table1 ) a series of simulation runs is done, where only the chosen input parameter was modi ed. The sensitivity analysis shows that the results do not sensitively depend on pressure gradient @P , di usion constant Dc, reaction rate kreact and km.... In PAGE 27: ...Table1 . Model parameter Parameter Function = 1:1 density of particles, has in uence on viscosity (x y) = (66 80) grid size @P = 5 102 m s2 pressure gradient, give the ux velocity Dc = 1 10?5cm2=s di usion constant kreact = 4mmoll h reaction/biomass constant km = 9 10?4 mmoll... ..."

### Table 12: Performance of Scheduling Algorithms for Real Irregular Patterns on 32 Processors

1992

"... In PAGE 8: ... In this case, bal- anced scheduling performs the best. The performance of these algorithms on real prob- lems such as the conjugate gradient solver and Eu- ler solver for unstructured meshes of di erent sizes, is given in Table12 . The table shows the communi- cation time for each algorithm as well as the average number of bytes transferred in each problem and the percentage of communication operations with respect to complete exchange.... ..."

Cited by 11

### Table 4: Simulation Speed and Variance

1999

"... In PAGE 15: ... IV. Substitution Patterns Table4 provides an illustration of the substitution patterns that are implied by each of the models. In particular, the table gives the probabilities from each of the four models under various scenarios compared with a base situation.... In PAGE 16: ...Table4 are not forecasts, the differences in the substitution patterns that arise under the different models will also occur in forecasting since these differences are intrinsic to the model specifications. We first describe the differences between the standard logit and the mixed logit in column 2 of Table 2, called mixed logit A.... In PAGE 16: ... We then describe differences with the pure probit and the mixed logit in column 4, called mixed logit B. In part 1 of Table4 , a mini electric car is introduced to a base situation consisting of five gas cars. The logit model, because of the iia property, implies that the new electric car will draw proportionately from all five of the gas cars.... In PAGE 17: ...relative to existing products, is potentially important in forecasting penetration rates for any new product, but especially for products that are expected to satisfy niche markets. For part 2 of Table4 , a second electric car in introduced, comparable in size to a gas subcompact. The previous scenario (five gas cars and a mini electric car) is taken as the base.... In PAGE 19: ... The log of the simulated probability is not unbiased for the log of the true probability; rather, given the log transformation, it is biased downward for a finite number of replications, with the bias decreasing as the number of replications increases. The figures in Table4 are consistent with these facts. Whether the bias can be considered large depends on the perspective that one takes.... In PAGE 20: ... We performed similar calculations for the pure probit. The results are given in the last column of Table4 . The variance in the average probability and the log-likelihood function is somewhat smaller for the GHK simulator with 50 replications than the mixed logit with the same number of replications.... In PAGE 21: ... Nevertheless, the recursive nature of the GHK simulator (where the range for the random draw for one alternative depends on the value of previous draws for other alternatives) is inherently slow compared to simulators, like the mixed logit simulator, which draw simultaneously from unrestricted ranges. In light of these issues, the results in Table4 are perhaps best interprested as simply an indication that the mixed logit simulator is reasonably accurate compared to the GHK simulator, particularly for given computer time.... ..."

Cited by 25

### Table 1 shows the results of comparing the two methods for the porous structure dataset.

"... In PAGE 6: ... Table1 . Comparison results for the two procedures.... ..."

### Table 1 shows the results of comparing the two methods for the porous structure dataset.

"... In PAGE 6: ... Table1 . Comparison results for the two procedures.... ..."