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Square Root Calculator (Babylonian Method)

Babylonian Method Formula:

\[ \text{Approximation} = \frac{1}{2} \times \left( \text{Previous Guess} + \frac{\text{Number}}{\text{Previous Guess}} \right) \]

(positive number)
(1-20)

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1. What is the Babylonian Method?

The Babylonian method (also known as Heron's method) is an ancient algorithm for finding square roots through iterative approximation. It's one of the oldest known numerical algorithms, dating back to at least the first century AD.

2. How Does the Calculator Work?

The calculator uses the Babylonian method formula:

\[ \text{New Guess} = \frac{1}{2} \times \left( \text{Previous Guess} + \frac{\text{Number}}{\text{Previous Guess}} \right) \]

Algorithm Steps:

  1. Start with an initial guess (typically half of the number)
  2. Compute a new guess using the formula above
  3. Repeat the process until the desired precision is achieved

Convergence: The method converges quadratically, meaning the number of correct digits roughly doubles with each iteration.

3. Importance of Square Root Calculation

Applications: Square roots are fundamental in mathematics, physics, engineering, finance, and computer graphics. The Babylonian method demonstrates how computers can approximate irrational numbers.

4. Using the Calculator

Tips:

5. Frequently Asked Questions (FAQ)

Q1: Why use the Babylonian method instead of a calculator?
A: It demonstrates how computers perform square root calculations and helps understand numerical approximation methods.

Q2: How accurate is this method?
A: Extremely accurate - after just 5 iterations, you typically get 10+ decimal places of precision.

Q3: What's the best initial guess?
A: Any positive number works, but starting with n/2 converges quickly. The method is robust to initial guess choice.

Q4: Does this work for cube roots?
A: A similar iterative method exists for cube roots and other roots, but with a different formula.

Q5: Why does this method work?
A: It's derived from Newton's method applied to the function f(x) = x² - n. Each iteration moves closer to the true root.

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