Normal Random number generation

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Rakesh Jain
Rakesh Jain 2017-3-9
评论： Walter Roberson 2017-3-15
I want to generate random numbers from a standard normal distribution with decreasing standard deviation that lies between 0 and 1. First, what is meant by decreasing standard deviation? Secondly, randn generates normal distribution random numbers. But how to limit them between 0 and 1?

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James Tursa
James Tursa 2017-3-9
编辑：Walter Roberson 2017-3-9
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Rakesh Jain
Rakesh Jain 2017-3-15
编辑：Rakesh Jain 2017-3-15

@Walter Roberson, BBBC is Big Bang Big Crunch Optimisation Algorithm by Osman K. Erol and Ibrahim Eksin discovered in 2006

Walter Roberson
Walter Roberson 2017-3-15
Decreasing standard deviation would result in an algorithm with similarities to Simulated Annealing.

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Walter Roberson
Walter Roberson 2017-3-9
My interpretation is that the normal distribution is to be unbounded, not restricted to the range [0 1], but that the standard deviation used is to start and 1 and decrease to 0. For example,
SD = linspace(1, 0, 20)
results = randn(1,20) .* SD
That would give you 20 results with stand deviation decreasing from 1 to 0.
As for why... I don't know?

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