### Table 1. Benchmark results

"... In PAGE 9: ... In [6], G2 was introduced as a refinement of G1, to bring it closer to grammars used in practice. Our ambiguity checker detects an extra vertical ambiguity in G2 (see Table1 ) and clearly reports it by producing the ambiguous word () for the productions P[aPa] and P[S]. Grammars... In PAGE 10: ... Our method succeeded to show unambiguity, which implies that the Boltzmann statistics computed according to [26] are indeed correct. Summary of Biosequence Analysis Experiments Table1 summarizes the results of running our ambiguity analysis and that of LR(k) on the example grammars from biosequence analysis presented in this paper. The first column lists the name of the grammar along with a source refer- ence.... ..."

### Table 2: 4 Construction of Efficient Linear Codes with Small Mini-

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### Table 1: Comparison of state space construction criteria

1996

"... In PAGE 3: ...peaking, they can be categorized into three types, i.e., s Cj Ak a2 jk A1 A2 C1 C2 Set of State Classes a3 a4 beh = lt;s, a, r gt; Action Set Pre-defined (Fixed) Motor Space Behavior Experience Sensor Space Optimize m Figure 3: Classification of behavior experiences B state space construction based on (a) goal/subgoal achievement, (b) obtained reward, and (c) sensor in- put change. Table1 gives a brief comparison of their main features. As can be easily seen from this, each of these criteria has its advantages and disadvantages.... ..."

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### Table 1: Data from enumeration of reduced k n rectangles. 19

1999

"... In PAGE 18: ... Results for small squares The theoretical results given to date have dealt with the distribution of intercalates in large rectangles. As a counterpoint, in Table1 we display the results of a computer enumeration of small order Latin squares and rectangles; and the number of intercalates contained therein. Since intercalates survive permutations of the rows and columns it su ces to enumerate LR(k; n), the set of reduced k n Latin rectangles.... In PAGE 18: ... On the basis of Theorem 2 we might expect this value to be close to k. The actual values (to 4 decimal places) can be found in Table1 . We are also interested in the proportion of Latin rectangles which contain no intercalates, namely jS0j jL(k; n)j.... In PAGE 18: ... We are also interested in the proportion of Latin rectangles which contain no intercalates, namely jS0j jL(k; n)j. Theorem 1 suggests that this ratio will be approximately e? k, which is to say that the values in the nal column of Table1 should also be close to k. Since much attention has focused on N2 squares we provide separate counts of them in Table 2.... ..."

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### Table 2: Simulation Efficiency Comparison for Large State Space Cases

"... In PAGE 7: ...i.e., E#. / lt; 5%). It is often unnecessary tight requirement. In Table2 , we show the with a fixed and small value of n. the results for several large scale systems million states.... ..."

### Table 3 Efficiency and Accuracy with adaptive state-based sampling Circuit

2004

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### Table 1: Improving Construction Efficiency by Concurrent Engineering Strategy (Love and Gunasekaran 1997)

"... In PAGE 7: ... (Love and Gunasekaran 1997). Table1 presents several construction problems that may be CE approached. Table 1: Improving Construction Efficiency by Concurrent Engineering Strategy (Love and Gunasekaran 1997)... ..."

### Table 3: Port Efficiency Variables

2002

"... In PAGE 19: ... In this group, Ecuador (15 days) and Venezuela (11 days) appear as the worst performers. Finally, the third column of Table3 presents some estimates of the costs of handling containers inside the ports (in US$/TEU). This variable was constructed based on information provided by the Transport Division of the World Bank and information from additional papers.... ..."

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