8 S 3 4 9. 3X tex -X-7X - x +7= 0 Use Euler's method to approximate up to 0.2 accuracy the real root with the largest absolute value of the polynomial equation given above.

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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Title: Solving Polynomial Equations Using Euler's Method

Introduction:

In this exercise, we explore how to approximate the real root with the largest absolute value of a given polynomial equation using Euler's method, aiming for an accuracy of up to 0.2.

Polynomial Equation:

\[
3x^8 + 6x^5 - x^3 - 7x^4 - x + 7 = 0
\]

Objective:

Apply Euler’s method to approximate the real root with the largest absolute value, ensuring the result is within an accuracy of 0.2 units.

Methodology:

Euler’s method is generally used for numerical solutions of differential equations, but here, we adapt the iterative mindset to approximate the root of a polynomial. The method will involve initial approximations and adjustments until the desired accuracy is achieved.

Steps to Solve:

1. **Initial Guess**: Choose an initial approximation (could be based on graphical analysis or estimation).
2. **Iterate**: Apply the iterations using Euler’s adjustment to converge towards the accurate root.
3. **Check Accuracy**: Ensure the approximation is within the 0.2 target accuracy by evaluating the polynomial at the guessed root.

Conclusion:

By following this structured approach, we aim to identify the polynomial's most significant real root using Euler’s method, tailored to achieve precise approximation within specified limits.
Transcribed Image Text:Title: Solving Polynomial Equations Using Euler's Method Introduction: In this exercise, we explore how to approximate the real root with the largest absolute value of a given polynomial equation using Euler's method, aiming for an accuracy of up to 0.2. Polynomial Equation: \[ 3x^8 + 6x^5 - x^3 - 7x^4 - x + 7 = 0 \] Objective: Apply Euler’s method to approximate the real root with the largest absolute value, ensuring the result is within an accuracy of 0.2 units. Methodology: Euler’s method is generally used for numerical solutions of differential equations, but here, we adapt the iterative mindset to approximate the root of a polynomial. The method will involve initial approximations and adjustments until the desired accuracy is achieved. Steps to Solve: 1. **Initial Guess**: Choose an initial approximation (could be based on graphical analysis or estimation). 2. **Iterate**: Apply the iterations using Euler’s adjustment to converge towards the accurate root. 3. **Check Accuracy**: Ensure the approximation is within the 0.2 target accuracy by evaluating the polynomial at the guessed root. Conclusion: By following this structured approach, we aim to identify the polynomial's most significant real root using Euler’s method, tailored to achieve precise approximation within specified limits.
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