Newton Raphson method and Fixed Point Iteration method ?

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SUMMARY

The discussion focuses on the Newton-Raphson method and the Fixed Point Iteration method, both of which are numerical techniques for finding roots of functions. The Newton-Raphson method utilizes the derivative of the function to iteratively converge to a root, starting from an initial guess x0. The process involves calculating the next approximation x1 by finding where the linear approximation of the function intersects the x-axis. This iterative approach continues, refining the estimate with each step to achieve greater accuracy.

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  • Basic knowledge of iterative algorithms
  • Graphical interpretation of functions
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  • Study the mathematical foundations of the Newton-Raphson method
  • Explore Fixed Point Iteration method in detail
  • Learn about convergence criteria for numerical methods
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atomic_light11
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Hi everyone, I has been learning numerical method recently, i am very wonder how fixed point iteration method and Newton raphson method works (a more insight explanation rather than mathematical proof ) thanks!
 
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Intuitively it works as follows:

You start with x0, and you know what f(x0) and f'(x0) is. You also know that the graph of f(x) is approximately a line passing through (x0,f(x0) with slope f'(x0). The first step is to find x1 which is the place where f(x) would equal zero IF f(x) was actually a linear function.

Most likely f(x1) is not equal to zero, but since f(x) kind of looked like the line whose zero you calculated, you expect that x1 is closer to the zero of f(x) than x0 is. Then you just repeat the whole process with x1 in place of x0 to find x2 which is even closer, etc.
 

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