12-Feb-2019 12:42:58 normal_test MATLAB version. Test normal. C4_NORMAL_01_TEST C4_NORMAL_01 computes pseudorandom complex values normally distributed in the unit circle. The initial seed is 123456789 1 ( 1.679040, -0.472769) 2 ( -0.566060, -0.231124) 3 ( 1.212934, 0.535037) 4 ( 1.269381, 1.049543) 5 ( -1.666087, -1.865228) 6 ( -2.242464, 0.735809) 7 ( 0.039675, -1.350736) 8 ( 0.673068, 0.007775) 9 ( -0.275127, 0.374940) 10 ( 2.164005, 0.185600) C8_NORMAL_01_TEST C8_NORMAL_01 computes pseudorandom complex values normally distributed in the unit circle. The initial seed is 123456789 1 ( 1.679040, -0.472769) 2 ( -0.566060, -0.231124) 3 ( 1.212934, 0.535037) 4 ( 1.269381, 1.049543) 5 ( -1.666087, -1.865228) 6 ( -2.242464, 0.735809) 7 ( 0.039675, -1.350736) 8 ( 0.673068, 0.007775) 9 ( -0.275127, 0.374940) 10 ( 2.164005, 0.185600) I4_NORMAL_AB_TEST I4_NORMAL_AB computes pseudonormal integer values with mean MU and standard deviation SIGMA. The mean = 70 The standard deviation = 10 The initial seed is 123456789 1 87 2 64 3 82 4 83 5 53 6 48 7 70 8 77 9 67 10 92 R4_NORMAL_01_TEST R4_NORMAL_01 computes a sequence of normally distributed pseudorandom numbers. The initial seed is 123456789 1 0.218418 2 0.956318 3 0.829509 4 0.561695 5 0.415307 6 0.066119 7 0.257578 8 0.109957 9 0.043829 10 0.633966 R4_NORMAL_AB_TEST R4_NORMAL_AB computes pseudonormal values with mean MU and standard deviation SIGMA. The mean = 10.000000 The standard deviation = 2.000000 The initial seed is 123456789 1 13.358081 2 8.867880 3 12.425868 4 12.538761 5 6.667827 6 5.515072 7 10.079350 8 11.346136 9 9.449745 10 14.328010 R4_UNIFORM_01_TEST R4_UNIFORM_01 produces a sequence of random values. SEED = 123456789 1 0.218418 2 0.956318 3 0.829509 4 0.561695 5 0.415307 6 0.0661187 7 0.257578 8 0.109957 9 0.043829 10 0.633966 R8_NORMAL_01_TEST R8_NORMAL_01 computes unit pseudorandom numbers. The initial seed is 123456789 1 0.218418 2 0.956318 3 0.829509 4 0.561695 5 0.415307 6 0.0661187 7 0.257578 8 0.109957 9 0.043829 10 0.633966 R8_NORMAL_AB_TEST R8_NORMAL_AB computes pseudonormal values with mean MU and standard deviation SIGMA. The mean = 10.000000 The standard deviation = 2.000000 The initial seed is 123456789 1 13.358081 2 8.867880 3 12.425868 4 12.538761 5 6.667827 6 5.515072 7 10.079350 8 11.346136 9 9.449745 10 14.328010 R8_UNIFORM_01_TEST R8_UNIFORM_01 produces a sequence of random values. SEED = 123456789 1 0.218418 2 0.956318 3 0.829509 4 0.561695 5 0.415307 6 0.066119 7 0.257578 8 0.109957 9 0.043829 10 0.633966 R8MAT_NORMAL_01_TEST R8MAT_NORMAL_01 computes a matrix of Normal 01 values. The matrix: Col: 1 2 3 4 Row 1 : 1.67904 0.535037 -2.24246 0.00777484 2 : -0.472769 1.26938 0.735809 -0.275127 3 : -0.56606 1.04954 0.0396749 0.37494 4 : -0.231124 -1.66609 -1.35074 2.164 5 : 1.21293 -1.86523 0.673068 0.1856 R8MAT_NORMAL_AB_TEST R8MAT_NORMAL_AB computes a scaled pseudonormal matrix. MU = 100 SIGMA = 5 SEED = 123456789 The matrix: Col: 1 2 3 4 Row 1 : 108.395 102.675 88.7877 100.039 2 : 97.6362 106.347 103.679 98.6244 3 : 97.1697 105.248 100.198 101.875 4 : 98.8444 91.6696 93.2463 110.82 5 : 106.065 90.6739 103.365 100.928 R8VEC_NORMAL_01_TEST R8VEC_NORMAL_01 computes a vector of unit pseudonormal values. SEED = 123456789 The vector: 1: 1.67904 2: -0.472769 3: -0.56606 4: -0.231124 5: 1.21293 6: 0.535037 7: 1.26938 8: 1.04954 9: -1.66609 10: -1.86523 R8VEC_NORMAL_AB_TEST R8VEC_NORMAL_AB computes a scaled pseudonormal vector. MU = 15 SIGMA = 0.25 SEED = 1.23457e+08 The vector: 1: 15.4198 2: 14.8818 3: 14.8585 4: 14.9422 5: 15.3032 6: 15.1338 7: 15.3173 8: 15.2624 9: 14.5835 10: 14.5337 R8VEC_UNIFORM_01 R8VEC_UNIFORM_01 returns a random R8VEC with entries in [ 0.0, 1.0 ] SEED = 123456789 Random R8VEC: 1: 0.218418 2: 0.956318 3: 0.829509 4: 0.561695 5: 0.415307 6: 0.0661187 7: 0.257578 8: 0.109957 9: 0.043829 10: 0.633966 normal_test: Normal end of execution. 12-Feb-2019 12:42:58