Convergence criteria for fixed point iteration

In summary, the conversation discusses how functions can be rearranged and the use of fixed-point iteration method. It also mentions a specific equation and its corresponding g(x) value. The conversation ends with a question about convergence criteria for fixed point iteration and the need for more information to provide a solution.
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Homework Statement


Most functions can be rearranged in several ways to give x = g(x) with which to begin the fixed-point
iteration method. For f(x) = e^x − 2x^2 , one g(x) is x = +- sqrt(e^x/2)
a) Using the convergence criteria, show that this converges to the root near 1.5 if the positive value is used and to the root near -0.5 if the negative is used. Do not carry out iterations!


Homework Equations





The Attempt at a Solution


what is convergence criteria for fixed point iteration, how can i solve this problem?
 
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  • #2
There is no such thing as "the" convergence criteria for fixed point iteration. The criteria in question are to be found in your textbook or notes, and in order to help you, we would need to know what exactly your problem refers to.
 

FAQ: Convergence criteria for fixed point iteration

What is the purpose of convergence criteria for fixed point iteration?

The purpose of convergence criteria for fixed point iteration is to determine whether a given iterative process will converge or not. This is important for ensuring the accuracy and efficiency of the iterative method.

How is convergence criteria for fixed point iteration different from other methods?

Convergence criteria for fixed point iteration is specific to iterative methods, whereas other methods such as direct methods or numerical integration methods do not rely on iterative processes.

What are some common convergence criteria for fixed point iteration?

Some common convergence criteria for fixed point iteration include the absolute error, relative error, and the number of iterations. These criteria can be used to determine when the iterative process has reached a desired level of accuracy.

What happens if the convergence criteria are not met?

If the convergence criteria are not met, it means that the iterative process has not reached the desired level of accuracy and may not produce a reliable solution. In this case, the process may need to be adjusted or a different method may need to be used.

Can convergence criteria be used to compare different iterative methods?

Yes, convergence criteria can be used to compare the efficiency and accuracy of different iterative methods. By comparing the convergence criteria, one can determine which method is more suitable for a given problem.

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