Modified Monte Carlo method for integral

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S. Iskandar

2020 Journal of Physics: Conference Series Vol. 1462 Issue 1 Conference paper Cited by 0 SDG 10 Quartile

Abstract

The integral value of a function will be determined by the result of the function of the integral function. In fact many integral functions that are difficult to solve sometimes cannot be solved by exact sciences. There are several ways such as by changing its function toThe approach to the Monte Carlo method uses the principle of generating random numbers to test a function. The use of randoms is very closely related to the value of the error obtained. This study aims to minimize the error value of integration by using the Monte Carlo method. The initial integration of the Monte Carlo method with 10000 random points has a fairly large average error value of 0.078, so that the follow-up is done using pias in the Monte Carlo integration. © Published under licence by IOP Publishing Ltd.

Affiliations

Mathematic Department, Universitas Negeri Medan, Jl. Williem Iskandar, Medan, Indonesia

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