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Random number generation
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#	Item
181	Computer Generated Pseudo-Random Number Sequences James A. Foster September 17, 1997 Add to Reading List Source URL: people.ibest.uidaho.edu Language: English - Date: 2010-10-09 17:33:32 Randomness Cryptography Mathematics Random number generation Pseudorandomness Algorithm Linear congruential generator Theoretical computer science Pseudorandom number generators Applied mathematics
182	Deterministic Parallel Random-Number Generation for Dynamic-Multithreading Platforms Charles E. Leiserson Tao B. Schardl Add to Reading List Source URL: supertech.csail.mit.edu Language: English - Date: 2014-09-16 08:27:49 Mathematical analysis Cilk Modular arithmetic Information theory Intel Cilk Plus Random number generation Pseudo-ring Mersenne twister Linear congruential generator Abstract algebra Pseudorandom number generators Mathematics
183	The attached DRAFT document (SEPTEMBER 2013 draft version of: SP 800-90A Revisiion 1, Recommendation for Random Number Generation Using Deterministic Random Bit Generators) (is provided here for historical purposes) has Add to Reading List Source URL: csrc.nist.gov Language: English - Date: 2014-11-20 17:22:13 Randomness Block cipher Pseudorandomness National Institute of Standards and Technology Federal Information Security Management Act Cryptographic hash function Random number generation Cryptographically secure pseudorandom number generator Dual EC DRBG Cryptography Pseudorandom number generators Applied mathematics
184	DRAFT NIST Special Publication 800-90A, Rev. 1 Recommendation for Random Number Generation Using Deterministic Random Bit Generators Add to Reading List Source URL: csrc.nist.gov Language: English - Date: 2014-11-20 12:37:21 National Security Agency Random number generation Hardware random number generator Pseudorandomness Cryptographic hash function FIPS 140-2 Block cipher Dual EC DRBG Cryptographically secure pseudorandom number generator Cryptography Randomness Pseudorandom number generators
185	Statistical Testing of Random Number Generators Juan Soto National Institute of Standards & Technology 100 Bureau Drive, Stop 8930 Gaithersburg, MD[removed]removed] Add to Reading List Source URL: csrc.nist.gov Language: English - Date: 1999-11-05 00:00:00 Hypothesis testing Categorical data Pseudorandom number generator Non-parametric statistics Random number generation Wald–Wolfowitz runs test Statistical hypothesis testing Statistical significance Pseudorandomness Statistics Statistical tests Randomness
186	Package ‘rsprng’ July 2, 2014 Version 1.0 Date 2010-03-01 Title R interface to SPRNG (Scalable Parallel Random Number Generators) Author Na (Michael) Li Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:22:27 Mathematics Computing Modular arithmetic Linear congruential generator Random number generation Lagged Fibonacci generator Generator Random seed Cryptographically secure pseudorandom number generator Pseudorandom number generators Randomness Cryptography
187	Package ‘rlecuyer’ July 2, 2014 Version 0.3-3 Date 2012/02/01 Title R interface to RNG with multiple streams Author Hana Sevcikova , Tony Rossini Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2015-02-19 19:14:30 Information theory Random number generation Portable Document Format Stream Computing Randomness Information
188	Wednesday, September 3, 2014 C7 News-Times • Newport, OR Add to Reading List Source URL: www.co.lincoln.or.us Language: English - Date: 2014-09-03 16:19:11 Mathematical structures Structure Pseudo-ring Randomness Ring Random number generation Land lot Algebraic structures Mathematics Ring theory
189	The : Random Generation of Integer, Rational, and Real Numbers with Applications to the exercise, quiz, and shortquiz Environments of Exerquiz Add to Reading List Source URL: www.math.uakron.edu Language: English - Date: 2009-04-20 12:53:38 Elementary mathematics Elementary arithmetic Field theory Fractions Rational number Q Integer Number Mathematics Abstract algebra Algebra
190	Random number generators for cryptography – design, evaluation and tests Viktor Fischer Hubert Curien Laboratory, Jean Monnet University Saint-Etienne, France Random numbers are crucial in cryptography: they are used a Add to Reading List Source URL: www.chesworkshop.org Language: English - Date: 2014-06-17 09:40:30 Pseudorandom number generators Information theory Formal sciences Random number generation Hardware random number generator Entropy Key Principle of maximum entropy Randomness tests Cryptography Randomness Probability and statistics

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