### Table 1. Bounds on chromatic sums and chromatic sum numbers

2007

"... In PAGE 8: ... In the preprocessing phase we converted list of edges representation into adjacency matrix representation. The theoretical bounds and the best computational results for 16 DIMACS benchmarks with at most 200 vertices are presented in Table1 . We used the following notations: L.... ..."

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### Table 3. Target values for CRI and chromaticity, with corresponding color temperature.

2002

"... In PAGE 6: ...able 2. Chromaticity coordinates and efficiency of the filtered spectra......................... 46 Table3 . Target values for CRI and chromaticity, with corresponding color temperature.... In PAGE 73: ...2 TOGA Implementation TOGA was implemented by defining target values for chromaticity and CRI, and leaving luminous efficacy unspecified. In particular, all combinations of five levels of CRI and seven levels of chromaticity on the blackbody locus (corresponding to levels of color temperature commonly encountered in the lighting industry worldwide) were combined ( Table3 ) to form the 35 target vectors, c T . TOGA addresses both of the issues for multiobjective optimization outlined in Section 3.... In PAGE 102: ...ggregating GA approach. For example, if the approach employed in Chapter 4 (i.e., individual runs for each target combination) were employed to examine the target values listed in Table3 , 875,000 chromosomes would have to be evaluated29; TOGA can generate the same results in 87,500 chromosome evaluations30 (note that this argument is independent of chromosome encoding for a fixed number of generations). However, TOGA also has a several limitations.... ..."

### Table IV. Color reproduction errors in chromatic- adaptation models.

### Table 1. Complexity classification for the chromatic sum problem on graphs with bounded degree.

2004

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### Table 1. Chromaticity coordinates and efficiency of the filtered spectra.

2001

"... In PAGE 11: ... point was selected to be about equidistant from the unfiltered spectra of the three lamps considered, and achievable (albeit at low efficiency) by all three lamps. Table1 gives the chromaticity coordinates and efficiency for these solutions. The color is correct, and the efficiency is the maximum achievable for those lamps at that color.... ..."

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### Table 1: Average deviation of the chromaticity coordinates of the

"... In PAGE 4: ... The primary variation in these colors is probably the bulb color, though anecdotally, there is also variation in the filter colors, especially in the red. Table1 shows the average deviation for the red, green and blue primaries and white for both types of projectors. Figure 7: A scatter plot in CIE XYZ tristimulus space of data taken from a Compaq MP1800 projector.... ..."

### Table 7.1 Characterization of the subgraph induced by the union of any two color classes.

2005

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### Table 1: Chromaticity Coordinates of the primaries of different brands of projectors

"... In PAGE 5: ... We also observe that this constant value is nearly equivalent for dif- ferent kinds of projectors. Table1 shows the average chromaticity coordinates of the different brands of projectors and the maximum distances between the same channel of two different brand projec- tors. In this scenario, the distance between two colors from differ- ent projectors, which now depends only on the chrominance terms, becomes a constant and, we cannot minimize the distance any fur- ther by just using independent per channel color maps.... ..."

### Table 1 Summary of relation between the union complexity of the underlying objects R, the chromatic number H(R), and its CF-chromatic number.

"... In PAGE 10: ... This depends on the function n2 U(n). Table1 summarizes the relation between the union complexity of the underlying objects, the chromatic number of the induced hypergraph, and its CF-chromatic number. The bounds given on the chromatic number and the CF-chromatic number are also bounds on the numbers of colors produced by Algorithms 1 and 2, respectively.... ..."

### Table 2 - Volume rendering approaches that avoid this interpolation artifact.

1998

"... In PAGE 8: ... There are three alternative approaches to avoiding the interpolation artifacts described in Section 2. These are summarized in Table2 . The first alternative is to store raw data (material) values themselves, interpolate these down to ray samples, and then classify the interpolated results [Osb97,Sch96,Avi94,Hoh90].... ..."

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