Title :
Monte Carlo testing and verification of numerical algorithm implementations
Author :
David D. Pokrajac;Abdullah-Al-Zubaer Imran;Predrag R. Bakic
Author_Institution :
Delaware State University, 1200 N DuPont Hwy, Dover, US
Abstract :
We develop a statistical test to assess correctness of a numerical algorithm implementation. We propose a Monte Carlo method to estimate the accuracy of an approximation algorithm without knowing a true value to be computed. The methodology is illustrated on computation of partial volumes in breast tissue simulation.
Keywords :
"Monte Carlo methods","Approximation algorithms","Approximation methods","Software","Random variables","Software algorithms","Software testing"
Conference_Titel :
Telecommunication in Modern Satellite, Cable and Broadcasting Services (TELSIKS), 2015 12th International Conference on
Print_ISBN :
978-1-4673-7515-3
DOI :
10.1109/TELSKS.2015.7357736