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.
Jose Rodriguez*
Esther Leuenberger*
Marlon Oliveira*
Forbes Richard*
John Fink*
Smaranya Dey, Subhadip Paul, Uddipto Dutta and Anirban Chatterjee
Mahboobeh Zohourian, Marzieh Shekari, Hossein Zamani and Moftakhar Ahmadi
Journal of Computer Science & Systems Biology received 2087 citations as per Google Scholar report
