Write a recursive algorithm that calculates the power of an integer method power(x,n) //calculates x
Write a recursive algorithm that calculates the power of an integer method power(x,n) //calculates x
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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![**Title:** Implementing a Recursive Algorithm to Calculate the Power of an Integer
**Introduction:**
This educational article describes how to write a recursive algorithm to compute the power of an integer. The algorithm is designed to calculate \( x^n \), where \( x \) is the base and \( n \) is the exponent.
**Algorithm Methodology:**
- **Method Signature:** `power(x, n)`
This method is a recursive function that determines the value of \( x \) raised to the power of \( n \). As a fundamental principle of recursion, the function must include a base case to avoid infinite recursion and correctly compute the result.
**Recursive Function Explanation:**
- **Base Case:**
The base case will usually check if the exponent \( n \) is equal to zero. In this situation, any non-zero base raised to the power of zero equals one, i.e., \( x^0 = 1 \).
- **Recursive Case:**
If \( n \) is not zero, the function should call itself with modified parameters in a manner that progresses towards the base case. Typically, this involves multiplying the base \( x \) by the result of `power(x, n-1)`.
Through this recursive breakdown, the problem gradually simplifies until it resolves to the base case, at which point the algorithm assembles the results to return the computed power.
**Conclusion:**
Understanding how to implement a recursive algorithm for calculating powers introduces fundamental concepts of recursion and base cases. This recursive approach is an efficient way to solve exponentiation problems, especially for applying mathematical calculations in computer science.
**Note:** While recursion provides a clear and efficient solution, always ensure to consider the implications of stack depth and memory constraints with larger exponents.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2e521a1e-f4ee-4c02-af71-8dfc2cc184d3%2F1b580581-4b18-4e0d-8725-08fbf196467f%2Fjmo8g1j_processed.png&w=3840&q=75)
Transcribed Image Text:**Title:** Implementing a Recursive Algorithm to Calculate the Power of an Integer
**Introduction:**
This educational article describes how to write a recursive algorithm to compute the power of an integer. The algorithm is designed to calculate \( x^n \), where \( x \) is the base and \( n \) is the exponent.
**Algorithm Methodology:**
- **Method Signature:** `power(x, n)`
This method is a recursive function that determines the value of \( x \) raised to the power of \( n \). As a fundamental principle of recursion, the function must include a base case to avoid infinite recursion and correctly compute the result.
**Recursive Function Explanation:**
- **Base Case:**
The base case will usually check if the exponent \( n \) is equal to zero. In this situation, any non-zero base raised to the power of zero equals one, i.e., \( x^0 = 1 \).
- **Recursive Case:**
If \( n \) is not zero, the function should call itself with modified parameters in a manner that progresses towards the base case. Typically, this involves multiplying the base \( x \) by the result of `power(x, n-1)`.
Through this recursive breakdown, the problem gradually simplifies until it resolves to the base case, at which point the algorithm assembles the results to return the computed power.
**Conclusion:**
Understanding how to implement a recursive algorithm for calculating powers introduces fundamental concepts of recursion and base cases. This recursive approach is an efficient way to solve exponentiation problems, especially for applying mathematical calculations in computer science.
**Note:** While recursion provides a clear and efficient solution, always ensure to consider the implications of stack depth and memory constraints with larger exponents.
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