"... In PAGE 4: ...6 Table 2. Problem Statistics Model 1 Model 2 Pt Rows Cols 0/1 Vars Rows Cols 0/1 Vars 1 4398 4568 4568 4398 4568 170 2 4546 4738 4738 4546 4738 192 3 3030 3128 3128 3030 3128 98 4 2774 2921 2921 2774 2921 147 5 5732 5957 5957 5732 5957 225 6 5728 5978 5978 5728 5978 250 7 2538 2658 2658 2538 2658 120 8 3506 3695 3695 3506 3695 189 9 2616 2777 2777 2616 2777 161 10 1680 1758 1758 1680 1758 78 11 5628 5848 5848 5628 5848 220 12 3484 3644 3644 3484 3644 160 13 3700 3833 3833 3700 3833 133 14 4220 4436 4436 4220 4436 216 15 2234 2330 2330 2234 2330 96 16 3823 3949 3949 3823 3949 126 17 4222 4362 4362 4222 4362 140 18 2612 2747 2747 2612 2747 135 19 2400 2484 2484 2400 2484 84 20 2298 2406 2406 2298 2406 108 Table3 a. Solution Statistics for Model 1 (Maximization) Pt Initial First Heuristic Best Best LP Obj.... In PAGE 5: ...) list the elapsed time when the heuristic procedure is first called and the objective value corresponding to the feasible integer solution returned by the heuristic. For Table3 a, the columns Best LP Obj. and Best IP Obj.... In PAGE 5: ... report, respectively, the LP objective bound corresponding to the best node in the remaining branch-and-bound tree and the incumbent objective value corresponding to the best integer feasible solution upon termination of the solution process (10,000 CPU seconds). In Table3 b, the columns Optimal IP Obj., bb nodes, and Elapsed Time report, respectively, the optimal IP objective value, the total number of branch-and-bound tree nodes solved, and the total elapsed time for the solution process.... ..."

"... In PAGE 10: ... Also all the broken tooth periods could easily be detected. Further experiments were conducted with various cutting parameters to simulate cutting forces for normal and broken tool condition, these are summarized in Table2 . In each case, first 1500 data were considered as the measurement of normal cutting and the rest were for the broken the tool.... ..."

"... In PAGE 10: ... Also all the broken tooth periods could easily be detected. Further experiments were conducted with various cutting parameters to simulate cutting forces for normal and broken tool condition, these are summarized in Table2 . In each case, first 1500 data were considered as the measurement of normal cutting and the rest were for the broken the tool.... ..."

"... In PAGE 53: ... Very low percentages indicate that the worst-case MODC solution is very much larger than what can be calculated using even flow-/context-insensitive data-flow analysis and indicate the significant advantages that inexpensive data-flow analysis can offer. Table2 presents another view comparing MODC(FSAlias) and MODC(FIAlias) that shows a frequency table of the numbers of procedures that modify a certain number of fixed locations. All the procedures in all the programs are considered together when constructing these frequency tables.... In PAGE 53: ...15 The frequency tables are broken down by fixed-location kind with the Total column representing all kinds. For example, Table2 (a) says that 367 of the procedures in all the programs modify 0 globals (Glob) and 132 procedures modify no fixed locations (Total). The Percent Below column shows what percentage of the procedures have that many total side effects or more.... ..."

"... In PAGE 8: ... The results show that the Boolean approach reduces the number of matching algorithm calls, nd smaller area circuits in better CPU time, and reduces the initial network graph because generic 2-input base function are used. Table2 presents a comparison between SIS and Land for the library 44-2.genlib, which is distributed with the SIS package.... ..."

"... In PAGE 7: ... Starting from their initial default values (se- lected with the help of a signal analysis domain expert), the parameter values converged in fewer than 10 iterations (10 signal sets each with 388 signals) using the local search adaptation strategy, as shown in Figure 7. The QoS (classification) improved in both the Matlab simulation and the runtime ( Table3 ). With Matlab simula- tion, the initial QoS with the default parameter values was 0.... ..."

"... In PAGE 32: ...iles) from B Plant and a far site 16.6 km (10.4 miles) east-southeast from B Plant. Table4 -1. New B Plant Stack, 296-B-1, Abated Offsite Emissions.... In PAGE 32: ... b Total abated dose at 16,640 m, east-southeast calculated by using the CAP88 dispersion model. Table4 -2. New B Plant Stack, 296-B-1, Abated Emissions at LIGO.... In PAGE 33: ...Identification and Characterization of Effluent Streams Rev. 0 Facility Effluent Monitoring Plan for B Plant August 2000 4-3 Table4 -3. Retired Filter Stack, 296-B-2, Abated Offsite Emissions.... In PAGE 33: ... These ratios are presumed to apply to emissions that passively pass through the HEPA filters of the 296-B-2 stack. Table4 -4. Retired Filter Stack, 296-B-2, Abated Emissions at LIGO.... In PAGE 35: ... Air effluents are released at room temperature and, as such, plume rise is not thermally driven. Table4 -5 summarizes the characteristics of the active B Plant exhaust stacks. For B Plant (located in the 200 East Area), a boundary point of 16,640 m east-southeast and the LIGO at 15,400 m were considered.... In PAGE 36: ... The new main stack, 296-B-1, has the potential of unmitigated dose consequences that are in excess of this standard. Table4 -6. New B Plant Stack, 296-B-1, Unabated Offsite Emissions.... In PAGE 37: ...Identification and Characterization of Effluent Streams Rev. 0 Facility Effluent Monitoring Plan for B Plant August 2000 4-7 Table4 -7. New B Plant Stack, 296-B-1, Unabated Emissions at LIGO.... In PAGE 37: ... b HEPA filter efficiency factor is based on 3000n where n is the number of HEPA filters. Table4 -8. Retired Filter Stack, 296-B-2, Unabated Offsite Emissions.... In PAGE 38: ...Identification and Characterization of Effluent Streams Rev. 0 Facility Effluent Monitoring Plan for B Plant August 2000 4-8 Table4 -9. Retired Filter Stack, 296-B-2, Unabated Emissions at LIGO.... ..."

"... In PAGE 15: ...re 1040 kg mC03, 0.6 and 0.45 MPa, respectively. The spring stiffness and damping constant in the force transmittal model are then tuned by using simulated annealing such that the resulting defor- mation approaches the FEM deformation. The opti- mization parameters and results are given in Table 1, the corresponding errors are shown in Table2 . Since some of the nodes in the two models have the same positions, the minimum nodal posi- tion error is zero.... ..."

"... In PAGE 23: ... In what follows, this analysis of variance has been done for the sample split in three ways: pooled, cross-section, and time-series. Proxies for fundamentals after splitting the Q ratio (table 4) Table4 presents the results of the analysis of sources of variation after splitting the Q ratio into two components and using proxies for fundamentals. In all instance, cash flow proved to be the best proxy for fundamentals.... ..."