Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Pseudorandom Numbers
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
2022 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In this thesis our goal is to study pseudorandom numbers. We  will investigate how to produce pseudorandom samples from the uniform distribution with a method called the linear congruential method. Another method we will look at is the inverse sampling method which gives us the possibility to generate samples from other distributions that are not the uniform distribution. When generating pseudorandom samples quality is an important aspect, therefore we are going to take a look at a discrepancy which is a tool to determine quality of uniformly distributed samples. We implement the methods in Python and perform numerical experiments to test some quality aspects of the output.

Place, publisher, year, edition, pages
2022.
Series
Working Papers in Mathematics Education
Keywords [en]
random numbers, pseudorandom numbers
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:kau:diva-90471OAI: oai:DiVA.org:kau-90471DiVA, id: diva2:1670794
Subject / course
Mathematics
Educational program
Mathematics Programme (180 ECTS credits)
Presentation
(English)
Supervisors
Examiners
Available from: 2022-06-16 Created: 2022-06-16 Last updated: 2022-06-16Bibliographically approved

Open Access in DiVA

fulltext(305 kB)108 downloads
File information
File name FULLTEXT01.pdfFile size 305 kBChecksum SHA-512
1fe7ecbc0dd587ec8b1af848189a57aec5922c3665e37b1c1ee9690ff263201e03150b91756771761292cc0b838811b0db5b0cbc87e188fcdd934918ee029381
Type fulltextMimetype application/pdf

By organisation
Department of Mathematics and Computer Science (from 2013)
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 108 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 379 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf