Powx N

To solve this coding challenge, you need to implement a function
pow(x, n)
that calculates \(x\) raised to the power of \(n\) (i.e., \(x^n\)). You'll employ a mathematical technique to efficiently compute the power by using a combination of exponentiation by squaring and handling negative exponents appropriately.

Explanation

The challenge is to compute \( x^n \), where \( x \) is a floating-point number and \( n \) is an integer. Here is a detailed explanation of the steps and considerations to solve this:
  1. Handling Zero Exponent : Any number raised to the power of zero is 1, so if \( n \) is zero, the output should be 1.
  2. Handling Negative Exponent : If \( n \) is negative, we need to invert \( x \) (i.e., use \( \frac{1}{x} \)) and change \( n \) to positive. This transforms the problem into computing \( (\frac{1}{x})^{-n} \).
  3. Exponentiation by Squaring : This method helps in reducing the complexity of power computation from \(O(n)\) to \(O(\log n)\). Here’s how it works:
    • If \( n \) is odd, multiply the result by \( x \).
    • Square \( x \) and halve \( n \).
    • Repeat until \( n \) is zero.
    Let’s go through the steps in the pseudocode:

    Detailed Steps in Pseudocode

  4. Define the function
    pow(x, n)
    .
    • If \( n \) is zero, return 1 immediately as any number raised to the power of zero is 1.
  5. Check if \( n \) is negative.
    • If it is, invert \( x \) to \( \frac{1}{x} \) and convert \( n \) to positive.
  6. Initialize a result variable to 1.
  7. Use a loop to compute the power:
    • While \( n \) is greater than zero:
      • If \( n \) is odd, multiply the result by \( x \).
      • Square \( x \) and halve \( n \) using integer division.
  8. Return the result.
  9. Here is the pseudocode with comments for these steps:
                                                
    FUNCTION pow(x, n)
    # Base case: x to the power of 0 is always 1
    IF n == 0 THEN
    RETURN 1
    
    # If the exponent n is negative, invert x and make n positive
    IF n < 0 THEN
    x = 1 / x
    n = -n
    
    # Initialize result
    result = 1
    
    # Loop until n is reduced to zero
    WHILE n > 0 DO
    # If n is odd, multiply result with current x
    IF n % 2 == 1 THEN
    result *= x
    
    # Square the base x
    x *= x
    
    # Halve the exponent
    n //= 2
    
    # Return the final computed power
    RETURN result
    
                                            
    Step-by-Step Explanation
  10. Function Definition : Define the
    pow
    function with parameters
    x
    and
    n
    .
    • pow(2.0, 10)
    • pow(2.1, 3)
    • pow(2.0, -2)
  11. Base Case Handling :
    • For
      pow(2.0, 0)
      , return
      1
      . This handles cases where the exponent is zero.
  12. Negative Exponent Handling :
    • If
      n
      is
      -2
      , convert \( x \) to \( \frac{1}{x} \) and \( n \) to
      2
      . This transforms
      pow(2.0, -2)
      to
      pow(0.5, 2)
      .
  13. Variable Initialization :
    • Initialize
      result = 1
      .
  14. Main Computational Loop :
    • Loop over while
      n > 0
      :
      • If
        n
        is odd, update the result by multiplying it with the current
        x
        . This is done because an odd exponent implies one more factor of the base is needed.
      • Square
        x
        for the next loop iteration.
      • Reduce
        n
        by half using integer division (
        n //= 2
        ).
  15. Return the Result :
    • Finally,
      result
      will be the computed power value.
This is essentially how you solve the challenge of computing \( x^n \) efficiently, taking care of both positive and negative exponents, and thus ensuring optimal performance even for large values of \( n \).