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nullprogram.com | ||
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modexp.wordpress.com
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| | | | | Table Of Contents Introduction Affine Transformation Linear Congruential Generator (LCG) Inversive Congruential Generator (ICG) Modular Multiplication Affine Permutation References Appendix Affine Cipher Affine Hash Modular Involutions Lehmer Random Number Generator 1. Introduction In a previous post on masking, shuffling data was suggested as an alternative to encryption or compression that generates high-entropy data. A block... | |
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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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preshing.com
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| | | | | Suppose we wish to generate a sequence of 10000000 random 32-bit integers with no repeats. How can we do it? 422253117, 3056114362, 1677071617, 478652086, 2970049140, ... I faced ... | |
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kevinmontrose.com
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| | | Withversion 1.3.0Jil now supports dynamic deserialization of JSON, with the appropriately named JSON.DeserializeDynamic(...) methods. What Types Are Supported? Jil's dynamic deserializer parses the same set of types that its static deserializer does. Supported types are: Strings and Chars Booleans Integers Floating point numbers DateTimes Nullables Enumerations Guids, in the "D" format Arrays Objects DateTime formats... | ||
