Last, a brief discussion is presented about the way an electronic circuit could be created to implement Utility for the proposed approximations is verified applying them to a couple of heat flow examples. To the normal (Gaussian) distribution integral were solved showing a relative error quite small. Showing advantages like less relative error or less mathematical complexity. The error function is compared against other reported approximations The Gaussian integral by HPM, the result served as base to solve other integrals like error function and theĬumulative distribution function. To the Gaussian distribution integral by using the homotopy perturbation method (HPM). Thus, this work provides an approximate solution The normalÄistribution integral is used in several areas of science. The probability that an aleatory variable normally distributed has values between zero and. The integral of the standard normal distribution function is an integral without solution and represents
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