Uniform Design Based On Centered L2 Discrepancy -- Un(ns)

Factors  
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These designs are obtained by threshold accepting algorithm and can be not optimal. More details can be refered to the Technical Report MATH-233, Hong Kong Baptist University.

Centered L2 Discrepancy of Random Sampling and Latin Hypercube Design, and Construction of Uniform Designs

by Kai-Tai Fang, Chang-Xing Ma, and Peter Winker. 

2 factors and  Top

3 runs
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3 factors and   Top

4 runs
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4 factors and   Top 
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5 factors  and   Top

6 runs
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6 factors  and   Top

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7 factors  and   Top

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8 factors and   Top

 
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9 factors and   Top

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10 factors and   Top

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11 factors and  Top

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12 factors and   Top

 
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13 factors and   Top

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14 factors and  Top

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15 factors and   Top

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16 factors and   Top

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17 factors and   Top

18 runs
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18 factors and   Top

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19 factors and   Top

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20 factors and   Top

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21 factors and   Top

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22 factors and   Top

23 runs
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23 factors and   Top

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24 factors and   Top

25 runs
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25 factors and   Top

26 runs
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26 factors and   Top

27 runs
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27, 28, 29 factors     Top

27 factors
28 runs & 27 factors
29 runs & 27 factors
30 runs & 27 factors
28 factors
29 runs & 28 factors
30 runs & 28 factors
29 factors
30 runs & 29 factors

This page is maintained by Chang-Xing Ma
Last update : Wednesday, 14-Sep-1999 10:58:02 HKT