Unformatted text preview: ors to discourage assessing the results in the context of quality of the random events
derived from the random number generator.
Further, it is wise to mention that the above observations are speci c to using random real
numbers, and not random integers. In particular, there may exist a resonance between the
physical problem and random integers such as the successive odd/even pairs obtained when
using a modulus of a power of two in a linear, congruential generator. As the complexity
of the problem decreases, the potential for problems with the random number generator
increases.
We note that FORTRAN 90 will obviate many of the impediments to a portable implementation of random number generators, as: (1) it allows arbitrary precision in numbers,
which can be made large enough to eliminate over ow and problems with a sign bit, and (2)
it has embedded in the language functions to return the date and time, which now are system calls and vary from system to system. Moreover, a random number generator intrinsic
function exists as part of the language, and it may be quite good (although it will have to
be tested thoroughly by the Monte Carlo community before gaining universal acceptance). 8 References
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 Randomness, random number, Pseudorandom number generator, congruential generators, LCGs

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