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Abstract
Numerical methods are used to approximate solutions of equations when exact solutions can not be determined via algebraic methods. They construct successive approximations that converge to the exact solution of an equation or system of equations. The aim of this paper is to find the roots of Non-linear Equations Numerically using Newton’s Raphson Method by A New Mathematical Technique. We followed the applied mathematical method using a new mathematical technique and we found the following some results: The New Mathematical Technique facilitates the process of finding the roots of non-linear equations of different degrees, the possibility of drawing these roots graphically in addition to the accuracy, speed and logicality of the solution and reduce errors compared to the numerical analytical solution manually.
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References
Courtney Remani, Numerical Methods for Solving Systems of Nonlinear Equations, 201
Joel Feldman, Newton’s Method, October, 2012.
Joe Mahaffy, Numerical Analysis and Computing, 2010.
Kendall E. Atkinson, John Wiley &Sons , an introduction to numerical analysis, Second Edition , 1989.
ManojKuma,AkhileshKumarSingh and Akanksha Srivastava, Various Newton-type iterative methods for solving nonlinear equations, 2013.
Steven T. Karris, Numerical Analysis, Second Edition, .ISBN 0-9744239-1-2, .2019.
S.S. Sastry, Introductory Method s of Numerical Analysis, Fifth Edition, New Delhi- 110001, 2012.
Walter Murray, Newton-type Methods, July 5, 2010.
William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery, NUMERICAL RECIPES, The Art of Scientific Computing Third Edition, 2007.
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