ihs_test 04-Apr-2003 15:03:08 IHS_TEST Test the MATLAB IHS routines. IHS_TEST01 IHS implements the IHS Algorithm (Improved Distributed Hypercube Sampling) Demonstrate the code for a fixed number of points and an increasing dimension. Random number seed = 17 Spatial dimension = 1 Number of points = 10 Duplication factor = 5 Desired minimum distance = 1.000000 Average minimum distance 1.000000 Standard deviation: 0.000000 Covariance: 0.000000 1 10 2 9 3 8 4 7 5 6 6 5 7 4 8 3 9 2 10 1 Random number seed = 17 Spatial dimension = 2 Number of points = 10 Duplication factor = 5 Desired minimum distance = 3.162278 Average minimum distance 2.612355 Standard deviation: 0.646017 Covariance: 0.247293 1 10 8 2 8 2 3 7 5 4 9 9 5 6 10 6 5 7 7 2 6 8 4 4 9 3 1 10 1 3 Random number seed = 17 Spatial dimension = 3 Number of points = 10 Duplication factor = 5 Desired minimum distance = 4.641589 Average minimum distance 4.250730 Standard deviation: 0.381952 Covariance: 0.089856 1 8 7 6 2 9 8 2 3 2 5 3 4 3 9 10 5 10 2 1 6 7 4 4 7 6 10 5 8 4 6 7 9 5 1 8 10 1 3 9 Random number seed = 17 Spatial dimension = 4 Number of points = 10 Duplication factor = 5 Desired minimum distance = 5.623413 Average minimum distance 5.166268 Standard deviation: 0.823054 Covariance: 0.159313 1 9 7 8 2 2 10 6 3 5 3 7 9 6 1 4 4 2 1 10 5 8 1 7 3 6 3 10 5 9 7 5 8 2 4 8 2 5 4 7 9 6 4 10 6 10 1 3 9 8 IHS_TEST02 IHS implements the IHS Algorithm (Improved Distributed Hypercube Sampling) Demonstrate the code for a fixed number of points and dimension, but vary the duplication value. Spatial dimension = 2 Number of points = 10 Desired minimum distance = 3.162278 Random number seed = 17 Duplication factor = 1 Average minimum distance 2.752871 Standard deviation: 0.831132 Covariance: 0.301915 1 5 7 2 10 4 3 8 2 4 7 5 5 2 9 6 9 10 7 6 8 8 3 6 9 4 1 10 1 3 Random number seed = 17 Duplication factor = 2 Average minimum distance 2.591483 Standard deviation: 0.305893 Covariance: 0.118038 1 9 7 2 8 4 3 6 2 4 10 9 5 7 10 6 5 8 7 4 5 8 2 6 9 3 1 10 1 3 Random number seed = 17 Duplication factor = 3 Average minimum distance 2.961967 Standard deviation: 0.172400 Covariance: 0.058204 1 3 9 2 6 4 3 10 10 4 9 5 5 8 8 6 7 1 7 4 2 8 5 7 9 2 6 10 1 3 Random number seed = 17 Duplication factor = 4 Average minimum distance 2.612355 Standard deviation: 0.646017 Covariance: 0.247293 1 2 10 2 3 9 3 9 1 4 6 2 5 10 6 6 7 5 7 8 8 8 5 7 9 4 4 10 1 3 Random number seed = 17 Duplication factor = 5 Average minimum distance 2.612355 Standard deviation: 0.646017 Covariance: 0.247293 1 10 8 2 8 2 3 7 5 4 9 9 5 6 10 6 5 7 7 2 6 8 4 4 9 3 1 10 1 3 IHS_TEST03 IHS implements the IHS Algorithm (Improved Distributed Hypercube Sampling) Demonstrate the code for a fixed dimension and duplication value, and increasing number of points. Spatial dimension = 2 Duplication factor = 5 Random number seed = 17 Number of points = 10 Desired minimum distance = 3.162278 Average minimum distance 2.612355 Standard deviation: 0.646017 Covariance: 0.247293 1 10 8 2 8 2 3 7 5 4 9 9 5 6 10 6 5 7 7 2 6 8 4 4 9 3 1 10 1 3 Random number seed = 17 Number of points = 20 Desired minimum distance = 4.472136 Average minimum distance 3.939912 Standard deviation: 0.431761 Covariance: 0.109586 1 7 15 2 17 20 3 9 17 4 13 19 5 19 8 6 3 14 7 20 18 8 16 16 9 15 4 10 18 12 11 10 13 12 14 10 13 11 7 14 12 1 15 6 11 16 8 3 17 5 6 18 4 2 19 2 9 20 1 5 Random number seed = 17 Number of points = 40 Desired minimum distance = 6.324555 Average minimum distance 5.416262 Standard deviation: 1.214908 Covariance: 0.224307 1 29 18 2 23 22 3 5 35 4 7 29 5 40 6 6 34 12 7 35 2 8 32 8 9 13 28 10 37 16 .... ........ 30 27 11 31 21 13 32 25 5 33 19 7 34 4 20 35 18 1 36 12 3 37 10 9 38 6 14 39 3 4 40 1 10 Random number seed = 17 Number of points = 80 Desired minimum distance = 8.944272 Average minimum distance 7.629518 Standard deviation: 1.502049 Covariance: 0.196873 1 51 49 2 8 37 3 28 29 4 17 73 5 46 10 6 64 14 7 43 59 8 60 26 9 32 57 10 69 70 .... ........ 70 24 11 71 12 40 72 11 60 73 7 52 74 13 31 75 3 44 76 2 35 77 18 18 78 5 27 79 9 15 80 1 19 Random number seed = 17 Number of points = 160 Desired minimum distance = 12.649111 Average minimum distance 11.037531 Standard deviation: 2.043035 Covariance: 0.185099 1 85 65 2 123 60 3 42 111 4 145 145 5 77 46 6 99 101 7 144 75 8 118 31 9 27 122 10 92 53 .... ........ 150 28 69 151 16 66 152 34 16 153 21 54 154 9 48 155 23 10 156 25 42 157 17 21 158 14 36 159 6 26 160 1 38 IHS_TEST04 IHS implements the IHS Algorithm (Improved Distributed Hypercube Sampling) Demonstrate the code for a fixed number of points dimension, and duplication factor, but with a varying random number seed. Spatial dimension = 2 Number of points = 10 Duplication factor = 5 Desired minimum distance = 3.162278 Random number seed = 17 Average minimum distance 2.612355 Standard deviation: 0.646017 Covariance: 0.247293 1 10 8 2 8 2 3 7 5 4 9 9 5 6 10 6 5 7 7 2 6 8 4 4 9 3 1 10 1 3 Random number seed = 1207526547 Average minimum distance 2.712510 Standard deviation: 0.701024 Covariance: 0.258441 1 4 8 2 8 10 3 7 7 4 3 9 5 1 3 6 2 6 7 5 5 8 10 4 9 9 1 10 6 2 Random number seed = 1136848141 Average minimum distance 3.162278 Standard deviation: 0.000000 Covariance: 0.000000 1 3 3 2 8 8 3 2 6 4 1 9 5 9 5 6 10 2 7 7 1 8 6 4 9 5 7 10 4 10 Random number seed = 1231916218 Average minimum distance 3.095508 Standard deviation: 0.140764 Covariance: 0.045474 1 10 8 2 7 7 3 1 3 4 9 1 5 4 2 6 6 10 7 3 9 8 8 4 9 2 6 10 5 5 IHS_TEST Normal end of execution. 04-Apr-2003 15:04:24