Журнал компьютерных наук и системной биологии

Estimation of Monte Carlo Area Algorithm Error

Abstract

Osama Y Abu Tammam

The paper introduces Monte Carlo Area Algorithm using Mat lab simulation to generate uniform random distribution points and evaluate the area accordingly and analyze the error. The method to calculate the error had done by comparing the real area value and estimated area values the repetition of the algorithm introduce superior efficiency and reduce the difference between real area value and estimated which considered as error. The relation between Error and number of random points is obviously an exponential relation which affected by number of repetition and random points. The true challenge in such studies is to limit the deviation in the exponential relation between error and number of random points.