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May 23, 2017 at 12:35 history edited CommunityBot
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Apr 13, 2017 at 12:56 history edited CommunityBot
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Feb 10, 2016 at 15:07 comment added LifeWorks Thanks very much! I think this is the best solution! Appreciate it!
Feb 10, 2016 at 15:00 vote accept LifeWorks
Feb 17, 2016 at 21:59
Feb 5, 2016 at 16:41 comment added Szabolcs @JasonB The question is not well stated (or rather: contradictory), see my comments above.
Feb 5, 2016 at 14:41 history edited Jason B. CC BY-SA 3.0
added 1752 characters in body
Feb 5, 2016 at 13:18 comment added Jason B. That isn't what was asked for in the question. As I understood the question, OP needs two lists that have the same sum, both of which have a uniform distribution between 0 and 1. This does that. I literally cannot get your code to run so I can't even evaluate it.
Feb 5, 2016 at 13:08 comment added Coolwater Note that this approach doesn't cause the sums to follow the UniformSumDistribution[n], because the smallest sum is chosen every time. QuantilePlot[Sort[Table[(lists = RandomReal[1, {20, 2}] // Transpose; lists = lists (Min[Total /@ lists]/Total@# & /@ lists); Total[First[lists]]), {200}]], UniformSumDistribution[20], Method -> {"ReferenceLineMethod" -> "Diagonal"}]
Feb 5, 2016 at 12:44 history edited Jason B. CC BY-SA 3.0
added 92 characters in body
Feb 5, 2016 at 12:25 history answered Jason B. CC BY-SA 3.0