What are iterative methods in numerical analysis?
Iterative methods are techniques used to find approximate solutions to mathematical problems by repeatedly refining an initial guess.
Can you give me an example of an iterative method?
Sure! One common example is the Newton-Raphson method, which is used to find roots of real-valued functions.
How does the Newton-Raphson method work?
It starts with an initial guess and uses the function's derivative to improve the guess iteratively until a desired accuracy is achieved.
What are the advantages of using iterative methods?
Iterative methods can handle large systems of equations and often converge faster than direct methods, especially for complex problems.
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