modif prng conclusion

[16dcc.git] / review.txt

diff --git a/review.txt b/review.txt
index 796d38b1add2b1f8d7e6f40c564cd92a6dd872e1..8ec57afd3e24a90f3fadd0244acb0195145a9b96 100644 (file)
--- a/review.txt
+++ b/review.txt
@@ -1,9 +1,11 @@
+jfjucobo16
+

 Review 1
 
 The author first prove the chaotic behaviour of a family of pseudorandom
 number generators (PRNG) introduced in a previous work by the same authors.
 These PRNGs are based on iterating continuous functions on a discrete domain.
 Review 1
 
 The author first prove the chaotic behaviour of a family of pseudorandom
 number generators (PRNG) introduced in a previous work by the same authors.
 These PRNGs are based on iterating continuous functions on a discrete domain.

-The paper first recalls Devaney’s definition of chaos and presents the proof of
+       The paper first recalls Devaney’s definition of chaos and presents the proof of

 the main results. Next, the authors study the stopping time, i.e. the time until
 a uniform distribution is reached. Finally, they evaluate the PRNG against the
 NIST suite.
 the main results. Next, the authors study the stopping time, i.e. the time until
 a uniform distribution is reached. Finally, they evaluate the PRNG against the
 NIST suite.


@@ -20,7 +22,7 @@ The overall presentation might be greatly improved.
 Another concern is the lack of comparison with other existing methods. Such
 a comparison should be provided.
 
 Another concern is the lack of comparison with other existing methods. Such
 a comparison should be provided.
 

---> JFC
+--> CG

 
 
 For theses reasons, I do not recommend acceptance of this contribution in
 
 
 For theses reasons, I do not recommend acceptance of this contribution in


@@ -31,11 +33,11 @@ Review 2:
 
 Some concerns must be noted on the practical side. It is unclear how the algorithm improves the randomness properties, as the results of the randomness test suite is not compared to that of the input PRNG. If that had been a perfect RNG, only 8 bits would have been enough to generate 8 bits, in this case we need 582 bits according to Table 1. This difference has to be justified.
 
 
 Some concerns must be noted on the practical side. It is unclear how the algorithm improves the randomness properties, as the results of the randomness test suite is not compared to that of the input PRNG. If that had been a perfect RNG, only 8 bits would have been enough to generate 8 bits, in this case we need 582 bits according to Table 1. This difference has to be justified.
 

---> JFC
+--> JFC (fait)

 
 The removal of the Hamiltonian cycle adds an interesting twist to the N-cube, but the importance of this complication is not emphasized properly.
 
 
 The removal of the Hamiltonian cycle adds an interesting twist to the N-cube, but the importance of this complication is not emphasized properly.
 

---> JFC
+--> JFC (fait)

 
 It would be also interesting to see the comparison of the theoretical and simulated bounds on tau.
 
 
 It would be also interesting to see the comparison of the theoretical and simulated bounds on tau.