Chi-square of pseudorandom number generator of normal distribution in C++17

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28160%2F21%3A63537518" target="_blank" >RIV/70883521:28160/21:63537518 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28140/21:63537518

Výsledek na webu

<a href="https://www.temjournal.com/content/104/TEMJournalNovember2021_1495_1499.html" target="_blank" >https://www.temjournal.com/content/104/TEMJournalNovember2021_1495_1499.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18421/TEM104-01" target="_blank" >10.18421/TEM104-01</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Chi-square of pseudorandom number generator of normal distribution in C++17

Popis výsledku v původním jazyce

High quality pseudorandom number generators were needed in many software solutions throughout the history of programming. Nowadays, these generators play an even more significant role in software development. Generally, these generatorsbring a certain level of coincidence in some algorithmswhich need it. This work focuses on the statisticalevaluation of one of the representatives of thegenerators using Pearson&apos;s Chi-square goodness of fittest. The generator of pseudorandom numbers undertest is the specific implementation in the modernstandard of the programming language of C++ (thestandard of C++17). Results presented in this paperinform whether the numbers generated by the selectedgenerator follow the desired probability distribution(normal)

Název v anglickém jazyce

Chi-square of pseudorandom number generator of normal distribution in C++17

Popis výsledku anglicky

High quality pseudorandom number generators were needed in many software solutions throughout the history of programming. Nowadays, these generators play an even more significant role in software development. Generally, these generatorsbring a certain level of coincidence in some algorithmswhich need it. This work focuses on the statisticalevaluation of one of the representatives of thegenerators using Pearson&apos;s Chi-square goodness of fittest. The generator of pseudorandom numbers undertest is the specific implementation in the modernstandard of the programming language of C++ (thestandard of C++17). Results presented in this paperinform whether the numbers generated by the selectedgenerator follow the desired probability distribution(normal)

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

TEM Journal - Technology Education Management Informatics

ISSN

2217-8309

e-ISSN

—

Svazek periodika

10

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

RS - Srbská republika

Počet stran výsledku

5

Strana od-do

1495-1499

Kód UT WoS článku

000733414200001

EID výsledku v databázi Scopus

2-s2.0-85121811884