Generiranje pseudoslučajnih brojeva

Marinčić, Dino

prikaz prve stranice dokumenta Generiranje pseudoslučajnih brojeva

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master's thesis

Generiranje pseudoslučajnih brojeva

Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2019. urn:nbn:hr:126:428606

Marinčić, Dino

Josip Juraj Strossmayer University of Osijek
Department of Mathematics
Chair of Pure Mathematics and Mathematics Teaching
Probability, Mathematical Statistics and Data Science Research Group

Cite this document

APA 6th Edition

Marinčić, D. (2019). Generiranje pseudoslučajnih brojeva (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:428606

MLA 8th Edition

Marinčić, Dino. "Generiranje pseudoslučajnih brojeva." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2019. https://urn.nsk.hr/urn:nbn:hr:126:428606

Chicago 17th Edition

Marinčić, Dino. "Generiranje pseudoslučajnih brojeva." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2019. https://urn.nsk.hr/urn:nbn:hr:126:428606

Harvard

Marinčić, D. (2019). 'Generiranje pseudoslučajnih brojeva', Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:126:428606

Vancouver

Marinčić D. Generiranje pseudoslučajnih brojeva [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2019 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:126:428606

IEEE

D. Marinčić, "Generiranje pseudoslučajnih brojeva", Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:126:428606

Cite this item: https://urn.nsk.hr/urn:nbn:hr:126:428606

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Metadata

Title	Generiranje pseudoslučajnih brojeva
Title (english)	Generation of Pseudorandom Numbers
Author	Dino Marinčić
Mentor	Danijel Grahovac (mentor)
Committee member	Domagoj Matijević (predsjednik povjerenstva)
Committee member	Danijel Grahovac (član povjerenstva)
Committee member	Slobodan Jelić (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Department of Mathematics (Chair of Pure Mathematics and Mathematics Teaching) (Probability, Mathematical Statistics and Data Science Research Group) Osijek
Defense date and country	2019-06-07, Croatia
Scientific / art field, discipline and subdiscipline	NATURAL SCIENCES Mathematics Probability Theory and Statistics
Abstract	Tema ovog rada jest generiranje pseudoslučajnih brojeva. Na početku rada predstavljamo slučajne i pseudoslučajne brojeve te generatore slučajnih i pseudoslučajnih brojeva kao i razlike medu njima. Prikaz algoritama počinjemo s Middle-square algoritmom te linearnim kongruentnim generatorom, a završavamo Mersenne Twister algoritmom. U nastavku objašnjavamo statističke testove koje koristimo za testiranje generatora pseudoslučajnih brojeva te provodimo testiranja. Zadnji dio rada bavi se problemom generiranja pseudoslučajnih brojeva iz proizvoljne distribucije. Sva programska podrška korištena u ovom radu isprogramirana je u R jeziku.
Abstract (english)	Main subject of this paper is generating pseudorandom numbers. At the begining we present random and pseudorandom numbers, as well as random number generators and pseudorandom number generators. First pseudorandom number generator we meet is Middle-square algorithm, followed by Linear congruential generator and finally Mersenne Twister algorithm. Later we present statistical tests for testing randomness of pseudorandom number generators while conducting the tests themselves. The final chapter of this paper describes inverse transform method for generating pseudorandom numbers from arbitrary distributions. Algorithms and statistical tests are programmed in R language
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:126:428606
Study programme	Title: Mathematics; specializations in: Financial and Statistical Mathematics, Mathematics and Computer Science, Industrial and Applied Mathematics Course: Financial and Statistical Mathematics Study programme type: university Study level: graduate Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	Repository of School of Applied Mathematics and Informatics
Created on	2019-06-10 07:26:11