Random number

Results: 692



#Item
181Theoretical computer science / Linear congruential generator / Mersenne twister / Random number generation / TestU01 / Pseudorandomness / RANDU / Xorshift / Lagged Fibonacci generator / Pseudorandom number generators / Mathematics / Applied mathematics

A PCG: A Family of Simple Fast Space-Efficient Statistically Good Algorithms for Random Number Generation MELISSA E. O’NEILL, Harvey Mudd College This paper presents a new uniform pseudorandom number generation scheme

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Source URL: www.pcg-random.org

Language: English - Date: 2014-09-05 18:33:41
182Theoretical computer science / Information theory / Pseudorandom number generators / Thermodynamic entropy / Fortuna / /dev/random / Randomness extractor / Entropy / Min-entropy / Randomness / Cryptography / Applied mathematics

Security Analysis of Pseudo-Random Number Generators with Input: /dev/random is not Robust ? Yevgeniy Dodis1 , David Pointcheval2 , Sylvain Ruhault3 , Damien Vergnaud2 , and Daniel Wichs4 1 Dept. of Computer Science, Ne

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Source URL: eprint.iacr.org

Language: English - Date: 2013-10-20 15:36:16
183Probability and statistics / Choquet integral / Central limit theorem / Expected value / Almost surely / Random variable / Brownian motion / Ordinal number / Markov chain / Statistics / Probability theory / Mathematical analysis

Strong laws of large numbers for capacities ∗ Zengjing Chen Shandong University and Ajou University JinanChina, Suwon Korea E-mail:

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Source URL: www.statistics.gov.hk

Language: English - Date: 2013-08-22 04:39:21
184Applied mathematics / MUGI / Pseudorandom number generators / Linear feedback shift register / Correlation attack / Random number generation / Statistical randomness / Randomness tests / Linear cryptanalysis / Cryptography / Randomness / Stream ciphers

MUGI Pseudorandom Number Generator Self-evaluation Report Ver. 1.1 Hitachi, Ltdc

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Source URL: www.hitachi.co.jp

Language: English - Date: 2015-04-05 21:00:45
185Complex analysis / Meromorphic functions

Algorithmica manuscript No. (will be inserted by the editor) A Central Limit Theorem for the Number of Degree-k Vertices in Random Maps Michael Drmota · Konstantinos

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Source URL: www.dmg.tuwien.ac.at

Language: English - Date: 2013-01-16 07:54:40
186Conventional PCI / PCI Express / Random number generation / Universal Serial Bus / Id Quantique / Comparison of hardware random number generators / Computer hardware / Computer buses / Randomness

Schweizerische Eidgeno,sen,chaft Confederation suisse Confederazione Confederaziun

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Source URL: www.idquantique.com

Language: English - Date: 2015-03-23 10:17:13
187Vehicle Identification Number

A Central Limit Theorem for the Number of Degree-k Vertices in Random Maps Michael Drmota∗ Konstantinos Panagiotou†

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Source URL: www.dmg.tuwien.ac.at

Language: English - Date: 2011-10-14 08:27:00
    188Cross-platform software / Linux / Solaris / FreeBSD / Operating system / Comparison of hardware random number generators / Computing / Software / Computing platforms

    Quantis User Guide Version 2.10 Quantis User Guide Version 2.10

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    Source URL: www.idquantique.com

    Language: English - Date: 2015-03-23 10:17:13
    189Probability theory / Continuous function / Ordinary differential equations / Analytic number theory / Multivariable calculus / Spectral theory of ordinary differential equations / Harris chain / Mathematical analysis / Mathematics / Characteristic function

    THE SHAPE OF UNLABELED ROOTED RANDOM TREES MICHAEL DRMOTA AND BERNHARD GITTENBERGER Abstract. We consider the number of nodes in the levels of unlabelled rooted random trees and show that the stochastic process given by

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    Source URL: www.dmg.tuwien.ac.at

    Language: English - Date: 2010-03-08 06:26:08
    190Randomness / Non-uniform random numbers / Monte Carlo methods / Numerical analysis / Sampling / Low-discrepancy sequence / Peak signal-to-noise ratio / Pseudo-random number sampling / Inverse transform sampling / Mathematics / Applied mathematics / Probability and statistics

    Total Variation Reconstruction From Quasi-Random Samples Colas Schretter1,2 , Ignace Loris3 , Ann Dooms1,2 and Peter Schelkens1,2 1 Vrije Universiteit Brussel, Dept. of Electronics and Informatics, Pleinlaan 2, B-1050 Br

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    Source URL: homepages.ulb.ac.be

    Language: English - Date: 2014-02-26 11:10:13
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