### Table 3.1: Material properties for 1117 Low Carbon Steel.

### TABLE I RESULTS OF cY/eTESTS ON ASTM A366 AND LOW-CARBON STOCK BE USED IN RING-STIFFENED CYLINDER MODELS

1982

### Table 2.2: Experimental deflection values and elastic calculation results for deflection and maximum stress for low carbon and Invar substrates.

### Table 5: Potential Errors in Sampling and Analysis Designing a sampling strategy

"... In PAGE 22: ...Table5 : Percentage C ange of BOD Loaby River (1991 Province River 1991 % change % change _ kg/day 1991-92 1991-94 Jawa Timur Kali Mediun 743 -10 -41 Lampung Way Pegadungan 22670 -59 -98 Lampung Way Sekampung 3463 85 473 Lampung Way Terusan 717 166 124 Lampung Way Tul. Bawang 18627 -28 -61 D.... ..."

### Table D-1: LBNL-NEMS High-Efficiency/Low Carbon Cases All-Sector Forecast Summary 2010 Page 1 of 2

1998

### Table D-1: LBNL-NEMS High-Efficiency/Low Carbon Cases All-Sector Forecast Summary 2010 Page 2 of 2

1998

### Table D-2: LBNL-NEMS High-Efficiency/Low Carbon Cases All-Sector Forecast Summary 2020 Page 1 of 2

1998

### Table D-2: LBNL-NEMS High-Efficiency/Low Carbon Cases All-Sector Forecast Summary 2020 Page 2 of 2

1998

### Table 7-9. Final Sampling Design. (2 pages)

1996

"... In PAGE 48: ...1.1 Screening Method Alternatives Table7 -1 identifies all of the screening technologies that were considered to resolve each decision statement and the optional methods of implementing each technology. The table also summarizes the limitations associated with each screening technology and/or method of implementation and provides an estimated cost for implementation.... In PAGE 48: ... The table also summarizes the limitations associated with each screening technology and/or method of implementation and provides an estimated cost for implementation. Table7 -1. Summary of Screening Alternatives.... In PAGE 48: ...1.2 Sampling Method Alternatives Table7 -2 identifies the various types of media that need to be sampled to resolve each decision statement and alternative methods for collecting these samples. The table presents alternative... In PAGE 49: ... An estimated cost for the implementation of each sampling design has also been provided for comparison purposes. Table7 -2. Summary of Sampling Method Alternatives.... In PAGE 49: ...1.3 Implementation Design Table7 -3 presents the selected screening technology(s) and sampling method(s) for resolving each decision statement and a summary of the proposed implementation design. The table also provides the rationale for selected methods and design.... In PAGE 49: ... The table also provides the rationale for selected methods and design. Table7 -3. Selected Judgmental Design.... In PAGE 50: ...2.1 Data Collection Design Alternatives Table7 -4 identifies the statistical design alternatives (e.g.... In PAGE 50: ...able 7-4 identifies the statistical design alternatives (e.g., simple random, stratified random, and systematic) that were evaluated for each decision statement, as well as the selected design and the rationale for the selection. Table7 -4. Selected Statistical Design.... In PAGE 50: ...2.2 Mathematical Expressions for Solving Design Problems Table7 -5 identifies the statistical hypothesis test (e.g.... In PAGE 51: ...Rev. 0 7-4 Table7 -5. Statistical Methods for Testing the Null Hypothesis.... In PAGE 52: ...2.3 Select the Optimal Sample Size that Satisfies the Data Quality Objectives Table7 -6 presents the total number of samples required to be collected for each decision statement with varying error tolerances and varying widths of the gray region. The total number of samples was calculated using the statistical method identified in Table 7-4.... In PAGE 52: ....2.3 Select the Optimal Sample Size that Satisfies the Data Quality Objectives Table 7-6 presents the total number of samples required to be collected for each decision statement with varying error tolerances and varying widths of the gray region. The total number of samples was calculated using the statistical method identified in Table7 -4. As would be expected, the higher the error tolerances and wider the gray region, the smaller the number of samples that are required.... In PAGE 52: ...7 [EPA 1989]). As shown in Table7 -4, the fill material in 105-F FSB is considered analogous to waste site overburden, thus, the 100 Area SAP (DOE-RL 1998a) sampling strategy will be used. Table 7-6.... In PAGE 52: ...-Test (formula 6.7 [EPA 1989]). As shown in Table 7-4, the fill material in 105-F FSB is considered analogous to waste site overburden, thus, the 100 Area SAP (DOE-RL 1998a) sampling strategy will be used. Table7 -6. Sample Size Based on Varying Error Tolerances and LBGR.... In PAGE 53: ...2.4 Sampling Cost For varying error tolerances, and varying widths of the gray region, Table7 -7 presents the total cost for sampling and analyzing the number of samples identified in Table 7-6. As would be expected, the higher the error tolerances, the wider the gray region, the lower the sampling and analysis costs.... In PAGE 53: ...2.4 Sampling Cost For varying error tolerances, and varying widths of the gray region, Table 7-7 presents the total cost for sampling and analyzing the number of samples identified in Table7 -6. As would be expected, the higher the error tolerances, the wider the gray region, the lower the sampling and analysis costs.... In PAGE 53: ... Consult the appendices in the Remedial Design Report/Remedial Action Workplan for the 100 Area (DOE-RL 1998b) for the results of the trade-off analysis. Table7 -7. Sampling Cost Based on Varying Error Tolerances and LBGR.... In PAGE 53: ... It is important to consider trade-offs so contingency plans can be developed and the added value of selecting one set of considerations over another can be quantified. Table7 -8 identifies the sampling design that provides a balance between the known operational limitations and the ability to meet the DQOs. Once the sample design has been defined, the project may conduct a trade-off analysis to determine if the reused potential... In PAGE 54: ...Rev. 0 7-7 Table7 -8. Most Resource-Effective Data Collection Design.... In PAGE 54: ... If required, one or more outputs to DQO Steps 1 through 6 were modified to tailor the design to most efficiently meet all of the DQO constraints. For each decision statement, Table7 -9 presents a summary of the final statistical sampling design, the total number of samples to be collected. Sampling will be performed as described in Table 7-8.... In PAGE 54: ... Sampling will be performed as described in Table 7-8. Table7 -9. Final Sampling Design.... ..."

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### Table 1: Multidisciplinary optimization architecture comparison.

"... In PAGE 4: ... In aerospace design, most optimization studies performed today rely on a multidisciplinary feasi- ble method. While this brute-force approach may be the simplest to comprehend, Table1 list several performance drawbacks. On the other hand, while an all-at-once approach may provide the most effi- cient means toward a solution, this solution strategy may be difficult to implement, has large communi- cations requirements, and leaves the domain-specific analyses with the role of function evaluation only.... ..."