### Table 2: Improved design parameter settings

1993

"... In PAGE 1: ... For instance, it is clear that the length of transistor M6 has a big- ger effect on the sensitivity of speed to Ld than other param- eters. Table2 summarizes the best choices of each parameter for every performance. The last column is a selection of parameter settings that represent a few optimal design choices.... ..."

Cited by 3

### Table 7: Optimal design of L12(3 29) generated by OP- TEX of SAS

1997

"... In PAGE 7: ... One choice is to use a D-optimal design generated by a software package. In Table7 , the optimal design given by SAS is shown. Note that the design is not balanced.... ..."

Cited by 1

### Table 1: A Comparison between Implementation Choices for VLSI Design.

"... In PAGE 3: ...ng. But in this paper, the formal proof is not provided. Now we know that, an nonoverlapped schedule has many fancy features for VLSI design but it is not always achievable by unfolding. Table1 summarizes some key points discussed in this section and in the previous section. Overlapped and nonoverlapped rate optimal schedule have their own pros and cons when they are implemented in VLSI.... ..."

### Table 1: Optimal design given by the CP algorithm for the moulding example

1997

"... In PAGE 3: ... The CP algo- rithm seems to be an ideal choice because it can include any interaction patterns in the model matrix F and then search for an optimal design based on this model. Table1 shows the optimal design of the moulding ex- ample, produced by the CP algorithm. The optimal de- sign is searched according to two criteria: D and n0, where n0 is the number of non-orthogonal pairs.... ..."

Cited by 1

### Table 4. Design Variable Results Design Variable

1997

"... In PAGE 7: ...hrust (Fig. 10) slightly, approximately 0.1 percent, which resulted in a reduction in nozzle weight. The final results for each case and the initial value of the objectives and the design parameters are given in Table 3 and Table4 , respectively. Note that significant changes in the design variables are observed between the single-discipline optimized solution and the MDO with eight variables that vary by more than 5 percent.... ..."

Cited by 4

### Table 1: Parameters for CMOS and MCM designs. The parameters used in the optimal wiresizing algo- rithms and HSPICE are summarized in Table 1. The wire width choices are fW1; 2W1; 3W1; 4W1; 5W1g, where W1 is the minimum wire width (0:95 m in the IC technology and 10 m in the MCM technol- ogy). Note that our algorithms are still valid if the wire widths are not integral multiples of the minimum width.

1996

Cited by 50

### Table 1. Design Parameters and Choices

1998

"... In PAGE 2: ... It is also possible to initiate a telephone call to personnel who do not have wireless access. Table1 summarizes subsystems, their parameters, and design choices. The chosen subsystems appear in bold.... ..."

Cited by 16

### Table 1. Design Parameters and Choices

1998

"... In PAGE 2: ... It is also possible to initiate a telephone call to personnel who do not have wireless access. Table1 summarizes subsystems, their parameters, and design choices. The chosen subsystems appear in bold.... ..."

Cited by 16

### Table 1. Design Parameters and Choices

1998

"... In PAGE 2: ... It is also possible to initiate a telephone call to personnel who do not have wireless access. Table1 summarizes subsystems, their parameters, and design choices. The chosen subsystems appear in bold.... ..."

Cited by 16

### Table 16: Modified - design choices

1992

Cited by 63