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In numerical analysis, Newton's method, also known as the Newton–Raphson method, named after Isaac Newton and Joseph Raphson, is a root-finding algorithm which produces successively better approximations to the roots (or zeroes) of a real-valued function.
A Python program that estimates the square root of a number using three numerical methods: Bisection, Simple Iteration, and Newton's Method. It demonstrates iterative algorithms and compares the number of iterations required for each method.