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www.johndcook.com | ||
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abseil.io
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| | | | | Battle-tested, Mom-approved | |
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blog.gistre.epita.fr
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| | | | | This article explores the world of random number generation in embedded systems, covering both pseudo-random number generators (PRNGs) and hardware-based random number generators (HRNGs). It explains their principles, provides examples of code, discusses their advantages and limitations, and highlights their applications in embedded systems. | |
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deut-erium.github.io
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| | | | | Numpy uses plain old implementation of Mersenne Twister as the default pseudorandom number generation. | |
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www.intellamech.com
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| | | GGIS on Github : Organization Pages for Gary Dalton and GGIS | ||
