random number generators



 Hello,
 	I am starting to do Quantum Monte Carlo calculations and
 I am interested in the performance of random number generators.
 	There have been a number of tests developed, the most trusted
 seem to be those in "Seminumerical Algorithms" by Knuth.  And there
 are a number of supplemental random number generators, such as the
 ran3 generator in "Numerical Recipies".  It has also been demonstrated
 that in the past the random number generators built into various
 programming languages were not to be trusted.
 	My question is - Do the random number generators built into
 the current generation of compilers pass statistical tests?
 	I have tested the built in random number generators in
 Borland C++ and GNU C++ and so far they have passed all tests
 (working out of Knuth).  I would like to know if it is only C++ that
 has a reliable random number generator implemented or if all
 compilers are now reliable, or if it is only certain vendors even within
 the C++ language?
 	The reason that I would like to use built in random number
 generators is that Knuth indicates that code written directly in
 assembly language can accomplish the task faster than code written in
 standard source code.  The GNU C++ built in random number generator
 is a factor of 2 faster than the ran3 generator using all available
 compiler optimization.
 				Dave Young
 				young-: at :-slater.cem.msu.edu
 				youngdc-: at :-msucem
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 	It can be easily shown that certain methods are not applicable
 to solving the many particle Schrodinger equation.
 	However, it has not been shown that it is impossible to find
 an analytic solution.
 	The only question remaining is "Who will have the honor?"
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