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blog.alexbeals.com | ||
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nelari.us
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| | | | | In inverse transform sampling, the inverse cumulative distribution function is used to generate random numbers in a given distribution. But why does this work? And how can you use it to generate random numbers in a given distribution by drawing random numbers from any arbitrary distribution? | |
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deut-erium.github.io
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| | | | | Can array based initialization of mersenne twister which is used in current libraries be reversed to get the seed (any 1-19937 bit quantity) | |
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xcorr.net
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| | | | | I was trying to get parallel Python to work and I noticed that if I run two Python scripts simultaneously - say, in two different terminals - they use the same core. Hence, I get no speedup from multiprocessing/parallel Python. After some searching around, I found out that in some circumstances importing numpy causes Python... | |
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blog.cryptographyengineering.com
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| | | In today's news of the weird, RSA (a division of EMC) hasrecommendedthat developers desist fromusingthe (allegedly) 'backdoored' Dual_EC_DRBG random number generator -- which happens to be thedefault in RSA's BSafe cryptographic toolkit. Youch. In case you're missing the story here, Dual_EC_DRBG (which I wrote about yesterday) is the random number generator voted most likely to... | ||