Implement a Matlab function called newtons Method that uses Newton's method to solve f(x) = 0 given an initial guess o. The inputs to your function should include the initial guess To, a convergence tolerence €, and a maximum number of steps (since Newton's Method does not always converge), and can use the function f(x) and the Jacobian J(r). The output should include a flag indicating success or failure, the solution æ* that satisfies ||f(x*)|| ≤ e in the event of success, and the number of steps required for convergence. Test your function with € = 10-10 by finding the four solutions to the example from lecture 15, that is, to f(x) = 0 where f(x) [f₁(x) [f2(x)] = [x²+x₁x-9 3x1x₂-x-4 in the set S = {(₁, x₂) € R² : -5 ≤ x₁ ≤ 5, −5 ≤ x₂ ≤ 5}. Use the following plot from Module 8 to obtain your initial guesses.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Implement a Matlab function called newtons Method that uses Newton's method to solve f(x) = 0 given
an initial guess To. The inputs to your function should include the initial guess To, a convergence
tolerence €, and a maximum number of steps (since Newton's Method does not always converge), and
can use the function f(x) and the Jacobian J(x). The output should include a flag indicating success
or failure, the solution æ* that satisfies ||f(x*)|| ≤ e in the event of success, and the number of steps
required for convergence. Test your function with € = 10-10 by finding the four solutions to the example
from lecture 15, that is, to f(x) = 0 where
€
50 4
3
in the set S = {(₁, ₂) € R² : -5 ≤ x ≤ 5, -5 ≤ x2 ≤ 5}. Use the following plot from Module 8 to
obtain your initial guesses.
2
1
0
-1
-2
-3
-4
5
f(x) =
-5
4
[f₁(x)] x² + x₁x²-9
[3x²x₂x² - 4
[f₂(x)]
-3
• z}+z₂+x²
-2
=
-1
0 1
N
+3₂
3 4
5
Transcribed Image Text:Implement a Matlab function called newtons Method that uses Newton's method to solve f(x) = 0 given an initial guess To. The inputs to your function should include the initial guess To, a convergence tolerence €, and a maximum number of steps (since Newton's Method does not always converge), and can use the function f(x) and the Jacobian J(x). The output should include a flag indicating success or failure, the solution æ* that satisfies ||f(x*)|| ≤ e in the event of success, and the number of steps required for convergence. Test your function with € = 10-10 by finding the four solutions to the example from lecture 15, that is, to f(x) = 0 where € 50 4 3 in the set S = {(₁, ₂) € R² : -5 ≤ x ≤ 5, -5 ≤ x2 ≤ 5}. Use the following plot from Module 8 to obtain your initial guesses. 2 1 0 -1 -2 -3 -4 5 f(x) = -5 4 [f₁(x)] x² + x₁x²-9 [3x²x₂x² - 4 [f₂(x)] -3 • z}+z₂+x² -2 = -1 0 1 N +3₂ 3 4 5
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