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Table 1: The comparison between the analytic and simulation results

in Resolving Mobile Database Overflow with the Most-Idle Replacement Policy
by Hui-Nien Hung, Yi-Bing Lin, Nan-Fu Peng, Shun-ren Yang
"... In PAGE 17: ...3 Validation of Analytic Analysis and Simulation The analytic model has been validated against the simulation model. Table1 compares the analytic and simulation results, where c;2 = 50 m and u;1 = u;2 = 1000 m. The table indicates that for exponential VLR residence time with m = 0:2, the error rate is less than 0.... ..."

Table 3 Analytic vs Simulation Results (Both)

in Access Ordering Algorithms for an Interleaved Memory
by Steven A. Moyer, Steven A. Moyer
"... In PAGE 46: ... Where memory bandwidth is the bottleneck, computa- tion rate increases accordingly. Table3 compares performance of ordered accesses as calculated analytically and mea- sured via simulation. Recall that analytic results represent a lower bound.... In PAGE 48: ... Table3 compares effective memory bandwidth for ordered accesses as calculated analyti- cally and measured via simulation. Once again, analytic results represent a lower bound on performance.... ..."

Table 3: Simulation Result vs. Analytical Calculation

in Proceedings of the 2002 Winter Simulation Conference
by Ycesan Chen Snowdon, E. Yücesan, C. -h. Chen, J. L. Snowdon, J. M. Charnes
"... In PAGE 4: ... To start, consider the simplest confusion matrix where the only discrimination is between target and non-target. The confusion matrix for this simple case is shown in Table3 . In a simulation, the numbers in the confusion matrix are used to determine the outcome of a random draw each time an object, target or otherwise, is encountered.... In PAGE 8: ... The results of the simula- tion were compared to the analytical formulations discussed earlier. Table3 shows the comparison results. There is good agreement between analytical prediction and the simulation results.... ..."

Table 2. Results of analytic solution and simulation

in A modeling tool for a new definition of stochastic activity networks
by M. Abdollahi, Azgomi, A. Movaghar 2005
"... In PAGE 12: ...xponentially distributed with rates 5.0 and 10.0, respectively, model two processors of the system. Because, all timed activities of this system are exponentially distributed, this model is Markovian and could be solved analytically. The results of its analytic solution and simulation are shown in Table2 . Simulation has been run for 10000 and 100000 units of time for before and after steady state, respectively.... ..."
Cited by 1

Table 3 Analytic vs Simulation Results

in Access Ordering Algorithms for a Single Module Memory
by Steven A. Moyer, Steven A. Moyer
"... In PAGE 33: ... Note that for LL-24 only a single vector is referenced so that no reordering is performed. Table3 compares performance of ordered accesses for the computations of Table 2 as cal- culated analytically and measured via simulation; again, loops are unrolled to a depth of 4. Note that in all cases analytic and simulation results differ by less than 1%, validating the accuracy of the performance model.... ..."

Table 4: Comparisons for analytical and simulation results for IMR

in Error Control Using Retransmission Schemes in Multicast Transport Protocols for Real-Time Media
by Sassan Pejhan, Mischa Schwartz, Dimitris Anastassiou 1996
Cited by 33

Table 2: Comparisons for analytical and simulation results for IUR

in Error Control Using Retransmission Schemes in Multicast Transport Protocols for Real-Time Media
by Sassan Pejhan, Mischa Schwartz, Dimitris Anastassiou 1996
Cited by 33

Table 3: Comparisons for analytical and simulation results for WAM

in Error Control Using Retransmission Schemes in Multicast Transport Protocols for Real-Time Media
by Sassan Pejhan, Mischa Schwartz, Dimitris Anastassiou 1996
Cited by 33

Table 4: Comparisons for analytical and simulation results for IMR

in Error Control Using Retransmission Schemes in Multicast Transport Protocols for Real-Time Media
by Sassan Pejhan, Mischa Schwartz, Dimitris Anastassiou 1996
Cited by 33

Table 2. Descriptive statistics of the understandability efficiency (first experiment)

in Evaluating the effect of composite states on the understandability of UML statechart diagrams
by José A. Cruz-lemus, Marcela Genero, M. Esperanza Manso, Mario Piattini 2005
"... In PAGE 5: ... First we carried out an analysis of the descriptive sta- tistics of the data. We obtained the results shown in the box-plot of figure 1 and eliminated the extreme and atypical data , obtaining the results displayed in Table2 . In this table, we show the descriptive statistics of the valid data for the diagrams that used composite states (CS) and of those that did not.... In PAGE 7: ... 2. Understandability efficiency profile plot from the first experiment Combining the results obtained in Table2 and figure 2, we can reject the hypothe- sis H0, which asserted that the use of composite states did not improve the under- standability efficiency of an UML statechart diagram. 3.... ..."
Cited by 3
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