### Table 1 summarizes the notation for the system parameters and variables. Under the implicit assumption of Poisson arrivals and system of P processors we use the following notation to characterize speci c system workloads.

1993

"... In PAGE 10: ... To indicate a general distribution of demand or available parallelism, general ERD, or arbitrary value of r between 0 and 1, we simply leave the notation as Fu D, FN, , or r, respectively. Table1 : System Notation P Number of processors in the system Arrival rate of jobs D Total job demand Fu D Distribution of demand for \uncorrelated quot; jobs D Overall mean job demand CD Overall coe cient of variation of demand O ered load D=P N Available job parallelism FN Distribution of available parallelism pk Probability[N = k], k = 1; : : : ; P p (p1; p2; : : : ; pP ) N Average available parallelism CN Coe cient of variation of available parallelism r Measure of workload correlation as de ned in (1) Execution rate determinant (ERD) of the workload l Linear execution rate function S Mean job service time Sn Normalized mean service time S=D R Mean response time of policy M=G=1P An M=G=1 system with a server of power P 2.5 Workloads for Numerical Experiments The following distributions of N and functions are used to validate mean response time approximations in Section 4 and to experimentally compare speci c policies in Section 5.... ..."

Cited by 4

### Table 5.9: Inventory quantity by newsvendor policy at stage-2, 2005 (units in million)

2008

### Table 3: FIML estimation of the system of equations (2-4) for Program Participation, Condom Use and Prices

"... In PAGE 14: ... Condom use in this specification shows a positive but non-significant effect consistent with our belief that these estimates may be biased upward because of unobserved heterogeneity given the strong preferences among clients against using condoms. Table3 reports the results from the FIML estimates of the system of equations (2), (3) and (4)9. The flip chart equation estimates are reported in table 3A.... In PAGE 14: ... The reason for this is unclear, but one possibility is that brothels with a high proportion of married sex workers are run by madams who may have been more resistant to allowing access to peer educators. Table3 B provides FIML estimates of equation (3) determining condom use. The most important effect to note here is the impact of seeing the flip-chart which increases the probability of using condoms by 28 per cent, at a 1% level of significance.... In PAGE 15: ... Once again we see that sterilization and number of children has no impact on condom use suggesting that condoms are not used as contraceptives but as a STD/HIV prevention mechanism. Finally, Table3 C reports FIML estimates of the determinants of log prices. First, note the negative and highly significant impact of condom use on prices.... ..."

### Table 2: An Inventory Problem in GAMS

"... In PAGE 3: ...T T1 STOCK X PERIODS PERIODS MATRIXCOST SUPPLY DEMAND STOCK HCOST /1 /1 RTYPE lt; gt; lt; = RHS AVAILABL REQUIRED ROWSSUPPLY DEMAND L S D T PERIODS T1 PERIODS DATAHCOST AVAILABL REQUIRED DOMAINS DATA TABLES RATES1 2 3 UNITS TABLE RATES RATES RATES PERIODS1 2 3 12 1E-15 10 1E-15 12 STUB T T UNITS 3 UNITS 20 2 10 1 1E-15 3 2 HEAD T1 UNITS T1 Table 1: An Inventory Problem in PAM 1.2 GAMS and AMPL, algebraic modeling systems for mathematical programming Table2 formulates the problem in GAMS (Brooke, 88), probably the best-known among mathematical programming systems offering a syntax close to conventional algebraic notation. Yet, GAMS does not represent indices, but only sets, as tabular systems do, hence the need of an alias set T1 to represent Constraints (1).... ..."

### Table 2: Eight scenarios of an inventory system with part 1, 2, and 3. Frequency Stock1 Stock2 Stock3 Demand rate1 Demand rate2 Demand rate3

2005

### Table 1 Alternative Dual System Estimates and their Underlying Assumptions

1993

Cited by 7

### Table 1: Inventory-Bank-R

"... In PAGE 3: ... In addition, an exponential smoothing method could be applied to calculate the aver- age demand as well. Table1 illustrates the system when the demand is nor- mally distributed with a mean of 98.7 (boxes) and a stan- dard deviation of 9.... In PAGE 7: ... An associated simulation model is shown in Figure8. In this case, 78 external files were generated as a Product File, which can be seen in Table1 . This table shows one part of the list of the file on Product No.... ..."

### Table 3: The simulation results of the inventory system depicted in Figure 3, where is the target ll rate, 0 and 1 are control parameters, i is the imbalance in stockpoint i and g i denotes the estimated ll rate of a stockpoint in group i.

1996

"... In PAGE 21: ... in Section 4.1.1). We assume that 2 = 4 = 5 = 6 = 0 and 1 = 3. The values of 0 and 1 are varied. Table3 depicts the results obtained from simulation of the model (using the control parameters obtained from the analysis). It yields insight in the performance of the CAS rationing policy and the impact of the imbalance on the attained external ll rates.... In PAGE 21: ...s 0 and 750, which results in a mean stock of approximately 0 and 0.4 period demands. The simulation shows the validity of the analysis for N-echelon model in De Kok [1994] in case imbalance is su ciently low. Table3 also reveals that when some stock is kept in intermediate stockpoints the expected stock in the total supply chain increases with approximately 5%. Extensive numerical experiments applying the method of De Kok, Lagodimos amp; Seidel [1994] and some discrete event simulation for validation purposes revealed that in most cases cost- optimal policies under service level constraint imply low stocks at intermediate stages.... ..."

Cited by 6

### Table 1 Simulation Assumptions

2006

"... In PAGE 15: ... Good practice FTAs, are compared against shallower agreements along three dimensions: (i) the costs and restrictiveness of the agreements; (ii) the degree to which the spokes of the system are joined up; and (iii) the degree of diversity among the countries involved. The architecture of hypothetical agreements that vary in these dimensions is described in Table1 . Two parameters are used to characterize the nature of the FTAs: a utilization rate and a compliance cost parameter.... ..."