Write a function newt (f, df, x0) which implements Newton's method to identify a root of the function f whose first derivative is given by the function df, with the starting value being given by x0.

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The text describes a task to create a function in a programming context related to numerical analysis. Here's the transcription as it might appear on an educational website:

---

**Programming Task: Implementing Newton's Method**

Create a function named `newt(f, df, x0)` to implement Newton's method for finding a root of the function `f`. The first derivative of this function is provided by `df`. The algorithm should begin with an initial guess given by `x0`.

**Details:**

- **Function Name:** `newt`
- **Parameters:**
  - `f`: The function for which we want to find the root.
  - `df`: The derivative of the function `f`.
  - `x0`: The starting value (initial guess) for the root-finding process.

**Objective:**
Use Newton's method to iteratively approximate a root of the function `f` using its derivative `df`. Newton's method is a powerful technique for solving equations numerically, particularly when combined with a suitable starting point `x0`.

**Concept Overview:**
Newton’s method is a root-finding algorithm that uses a sequence of function evaluations to approximate a solution. The method applies the formula:

\[ x_{n+1} = x_n - \frac{f(x_n)}{df(x_n)} \]

Repeat this process until the change in root estimates is within a desired tolerance. The effectiveness of the method depends on the choice of starting point `x0`.

---

This representation provides a clear, educational explanation suitable for users learning about numerical methods and programming.
Transcribed Image Text:The text describes a task to create a function in a programming context related to numerical analysis. Here's the transcription as it might appear on an educational website: --- **Programming Task: Implementing Newton's Method** Create a function named `newt(f, df, x0)` to implement Newton's method for finding a root of the function `f`. The first derivative of this function is provided by `df`. The algorithm should begin with an initial guess given by `x0`. **Details:** - **Function Name:** `newt` - **Parameters:** - `f`: The function for which we want to find the root. - `df`: The derivative of the function `f`. - `x0`: The starting value (initial guess) for the root-finding process. **Objective:** Use Newton's method to iteratively approximate a root of the function `f` using its derivative `df`. Newton's method is a powerful technique for solving equations numerically, particularly when combined with a suitable starting point `x0`. **Concept Overview:** Newton’s method is a root-finding algorithm that uses a sequence of function evaluations to approximate a solution. The method applies the formula: \[ x_{n+1} = x_n - \frac{f(x_n)}{df(x_n)} \] Repeat this process until the change in root estimates is within a desired tolerance. The effectiveness of the method depends on the choice of starting point `x0`. --- This representation provides a clear, educational explanation suitable for users learning about numerical methods and programming.
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