Adaptable pseudo random number generator
Date of Publication
2009
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science
College
College of Computer Studies
Department/Unit
Computer Science
Defense Panel Member
Nelson Marcos
Kai Shan L. Fernandez
Abstract/Summary
Stochastic simulation incorporates random variables in the simulation model. In order to create random variables, pseudo random number generators are used. These pseudo random number generators use standard statistical probability distributions, it only approximates real process behavior. This research aims to generate a probability distribution based in real data given by a sample set and using it to generate the needed random numbers. In doing so, the accuracy of the input distribution should be improved.
Abstract Format
html
Language
English
Format
Accession Number
TU14640
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Recommended Citation
Africa, D., Alborte, D. T., Chua Yap, M. T., & Kapahi, M. D. (2009). Adaptable pseudo random number generator. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14429
