An approach to solving real-life problems using normal distribution. Approximation of results using the Lagrange-Euler method
Year: 2023
Type: article
Abstract: We deal with the normal distribution as an overview of real-life problems. Our paper focuses on analyzing the normal distribution and its special cases by solving real-life problems and examining them through detailed calculations and graphs. Several research papers have reported that the normal distribution of a random variable has an enormous contribution in analyzing and comparing the data with each other, making the process easier for other methods in real-life applications. Using numerical methods, we get the approximations and the error during the different cases. In this research paper, we will discuss how the Euler equation will be used to solve the same problem in a more efficient way. The Euler method is used during the approximation process and with some widely studied models, including the standard formulas for each method, simulations, and graphs.
Authors: Shkelqim Hajrulla, Taylan Demir, Vasil Lino, Loubna Ali
Institutions: Epoka University, Çankaya University, University of Tartus
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4388657178