L=10 M=10 N=10 p=0.0000 reps=10000 corrlen=  0.0000000
L=20 M=20 N=20 p=0.0000 reps=10000 corrlen=  0.0000000
L=30 M=30 N=30 p=0.0000 reps=10000 corrlen=  0.0000000
L=40 M=40 N=40 p=0.0000 reps=10000 corrlen=  0.0000000

L=10 M=10 N=10 p=0.0500 reps=10000 corrlen=  0.6716937
L=20 M=20 N=20 p=0.0500 reps=10000 corrlen=  0.6820101
L=30 M=30 N=30 p=0.0500 reps=10000 corrlen=  0.6783337
L=40 M=40 N=40 p=0.0500 reps=10000 corrlen=  0.6670832

L=10 M=10 N=10 p=0.1000 reps=10000 corrlen=  1.1987246
L=20 M=20 N=20 p=0.1000 reps=10000 corrlen=  1.1810048
L=30 M=30 N=30 p=0.1000 reps=10000 corrlen=  1.2028372
L=40 M=40 N=40 p=0.1000 reps=10000 corrlen=  1.2034293

L=10 M=10 N=10 p=0.1500 reps=10000 corrlen=  1.9094813
L=20 M=20 N=20 p=0.1500 reps=10000 corrlen=  1.9278432
L=30 M=30 N=30 p=0.1500 reps=10000 corrlen=  1.9848158
L=40 M=40 N=40 p=0.1500 reps=10000 corrlen=  1.9521617

L=10 M=10 N=10 p=0.2000 reps=10000 corrlen=  3.0066010
L=20 M=20 N=20 p=0.2000 reps=10000 corrlen=  3.6190235
L=30 M=30 N=30 p=0.2000 reps=10000 corrlen=  3.6627361
L=40 M=40 N=40 p=0.2000 reps=10000 corrlen=  3.6979390

L=10 M=10 N=10 p=0.2500 reps=10000 corrlen=  3.5195185
L=20 M=20 N=20 p=0.2500 reps=10000 corrlen=  6.3256516
L=30 M=30 N=30 p=0.2500 reps=10000 corrlen=  8.9113060
L=40 M=40 N=40 p=0.2500 reps=10000 corrlen= 11.4279365

L=10 M=10 N=10 p=0.3000 reps=10000 corrlen=  4.3475851
L=20 M=20 N=20 p=0.3000 reps=10000 corrlen=  5.2667273
L=30 M=30 N=30 p=0.3000 reps=10000 corrlen=  2.3373571