>> ihs_test 02-Feb-2019 15:26:24 IHS_TEST MATLAB version Test IHS. IHS_TEST01 IHS implements the IHS Algorithm (Improved Distributed Hypercube Sampling) Demonstrate the code for a fixed number of points and an increasing dimension. 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 1 2 2 3 3 4 4 5 5 6 6 7 7 8 10 9 8 10 9 Spatial dimension = 2 Number of points = 10 Duplication factor = 5 Desired minimum distance = 3.162278 Average minimum distance 2.699173 Standard deviation: 0.488155 Covariance: 0.180854 1 3 1 2 8 4 3 7 2 4 1 10 5 2 7 6 4 3 7 5 6 8 6 9 9 9 8 10 10 5 Spatial dimension = 3 Number of points = 10 Duplication factor = 5 Desired minimum distance = 4.641589 Average minimum distance 4.246159 Standard deviation: 0.434790 Covariance: 0.102396 1 1 4 10 2 10 6 7 3 7 10 4 4 2 9 5 5 4 8 9 6 8 7 1 7 5 1 2 8 3 2 8 9 6 5 6 10 9 3 3 Spatial dimension = 4 Number of points = 10 Duplication factor = 5 Desired minimum distance = 5.623413 Average minimum distance 5.510279 Standard deviation: 0.202282 Covariance: 0.036710 1 10 2 9 4 2 9 4 6 8 3 6 5 8 3 4 8 3 1 1 5 4 9 10 6 6 2 10 7 2 7 3 1 4 9 8 1 8 5 7 9 5 6 3 10 10 7 7 2 5 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 Duplication factor = 1 Average minimum distance 2.624869 Standard deviation: 0.349707 Covariance: 0.133228 1 8 2 2 10 9 3 5 10 4 9 4 5 7 8 6 6 5 7 2 1 8 4 3 9 3 6 10 1 7 Duplication factor = 2 Average minimum distance 2.745895 Standard deviation: 0.714969 Covariance: 0.260377 1 10 3 2 9 4 3 6 1 4 3 2 5 8 7 6 4 5 7 7 10 8 1 6 9 5 8 10 2 9 Duplication factor = 3 Average minimum distance 3.095508 Standard deviation: 0.140764 Covariance: 0.045474 1 4 5 2 7 10 3 3 8 4 6 7 5 10 9 6 9 6 7 8 3 8 1 4 9 5 2 10 2 1 Duplication factor = 4 Average minimum distance 3.162278 Standard deviation: 0.000000 Covariance: 0.000000 1 1 8 2 9 2 3 5 10 4 2 1 5 6 3 6 8 9 7 10 5 8 7 6 9 4 7 10 3 4 Duplication factor = 5 Average minimum distance 3.162278 Standard deviation: 0.000000 Covariance: 0.000000 1 1 4 2 2 7 3 9 8 4 4 3 5 3 10 6 6 9 7 10 1 8 5 6 9 8 5 10 7 2 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 Number of points = 10 Desired minimum distance = 3.162278 Average minimum distance 2.928582 Standard deviation: 0.161265 Covariance: 0.055066 1 9 6 2 1 2 3 8 3 4 2 7 5 5 10 6 10 9 7 4 1 8 3 4 9 6 5 10 7 8 Number of points = 20 Desired minimum distance = 4.472136 Average minimum distance 3.897139 Standard deviation: 0.895784 Covariance: 0.229857 1 11 15 2 19 5 3 5 9 4 7 20 5 3 17 6 4 13 7 1 7 8 2 3 9 6 1 10 20 11 11 15 2 12 9 4 13 17 8 14 13 6 15 16 14 16 12 10 17 8 12 18 10 16 19 14 18 20 18 19 Number of points = 40 Desired minimum distance = 6.324555 Average minimum distance 5.569578 Standard deviation: 0.989588 Covariance: 0.177677 1 32 9 2 7 34 3 39 17 4 13 11 5 1 2 6 23 28 7 11 39 8 5 15 9 27 32 10 9 19 .... ........ 30 14 23 31 30 8 32 20 22 33 26 20 34 6 4 35 28 14 36 12 6 37 24 5 38 18 7 39 17 16 40 22 12 Number of points = 80 Desired minimum distance = 8.944272 Average minimum distance 7.500950 Standard deviation: 1.363447 Covariance: 0.181770 1 12 4 2 73 46 3 7 58 4 59 38 5 68 23 6 16 74 7 32 35 8 42 13 9 24 53 10 36 67 .... ........ 70 39 56 71 57 47 72 78 72 73 65 51 74 70 68 75 40 77 76 69 59 77 48 73 78 61 63 79 52 65 80 43 64 Number of points = 160 Desired minimum distance = 12.649111 Average minimum distance 10.967279 Standard deviation: 1.839484 Covariance: 0.167725 1 44 107 2 89 143 3 15 17 4 62 153 5 14 116 6 156 138 7 144 47 8 117 6 9 79 59 10 16 103 .... ........ 150 121 26 151 100 21 152 132 32 153 109 30 154 140 56 155 136 44 156 124 49 157 113 42 158 110 54 159 98 50 160 92 39 IHS_TEST04 IHS implements the IHS Algorithm (Improved Distributed Hypercube Sampling) Demonstrate the code for a fixed number of points dimension, and duplication factor. Spatial dimension = 2 Number of points = 10 Duplication factor = 5 Desired minimum distance = 3.162278 Average minimum distance 3.028737 Standard deviation: 0.172400 Covariance: 0.056921 1 4 4 2 1 3 3 5 1 4 8 2 5 2 6 6 3 9 7 6 8 8 7 5 9 9 7 10 10 10 Average minimum distance 3.162278 Standard deviation: 0.000000 Covariance: 0.000000 1 2 2 2 3 5 3 1 9 4 5 1 5 8 10 6 10 6 7 4 8 8 9 3 9 6 4 10 7 7 Average minimum distance 3.028737 Standard deviation: 0.172400 Covariance: 0.056921 1 3 5 2 2 2 3 5 1 4 1 9 5 8 10 6 4 8 7 6 6 8 7 3 9 10 4 10 9 7 Average minimum distance 2.712510 Standard deviation: 0.701024 Covariance: 0.258441 1 7 3 2 3 1 3 4 4 4 1 7 5 2 10 6 10 8 7 5 9 8 6 6 9 9 5 10 8 2 IHS_TEST Normal end of execution. 02-Feb-2019 15:26:25 >>