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Fibonacci Using Recursion in DSA C - Build from Scratch

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Fibonacci Using Recursion
📖 Scenario: You are helping a friend understand how to calculate Fibonacci numbers using a simple function that calls itself.The Fibonacci sequence starts with 0 and 1, and each next number is the sum of the two before it.
🎯 Goal: Build a C program that uses a recursive function to find the Fibonacci number at a given position.
📋 What You'll Learn
Create a recursive function called fibonacci that takes an integer n and returns the Fibonacci number at position n.
Use base cases for n == 0 and n == 1.
Call the fibonacci function from main to find the Fibonacci number for n = 6.
Print the result using printf.
💡 Why This Matters
🌍 Real World
Fibonacci numbers appear in nature, computer algorithms, and financial models. Understanding recursion helps solve many problems.
💼 Career
Knowing recursion and how to implement it in C is important for software development, especially in algorithm design and problem solving.
Progress0 / 4 steps
1
Create the main function and variable
Write a main function and create an integer variable called n set to 6.
DSA C
Hint

The main function is where the program starts. Declare int n = 6; inside it.

2
Write the recursive fibonacci function
Write a recursive function called fibonacci that takes an integer n and returns an integer. Use these rules: if n == 0, return 0; if n == 1, return 1; otherwise return fibonacci(n - 1) + fibonacci(n - 2).
DSA C
Hint

The function calls itself with smaller values until it reaches 0 or 1.

3
Call fibonacci function and store result
Inside main, create an integer variable called result and set it to the value returned by calling fibonacci(n).
DSA C
Hint

Call fibonacci(n) and save it in result.

4
Print the Fibonacci result
Add #include <stdio.h> at the top. Inside main, use printf to print the text "Fibonacci number at position 6 is: %d\n" with the value of result.
DSA C
Hint

Use printf with the format string and result to show the answer.

Practice

(1/5)
1. What does the Fibonacci sequence represent when calculated using recursion?
easy
A. Each number is the sum of the two preceding numbers
B. Each number is the product of the two preceding numbers
C. Each number is the difference of the two preceding numbers
D. Each number is the division of the two preceding numbers

Solution

  1. Step 1: Understand Fibonacci sequence definition

    The Fibonacci sequence is defined such that each number is the sum of the two numbers before it.
  2. Step 2: Relate to recursion

    Recursion calls the function for the two previous numbers and adds their results to get the current number.
  3. Final Answer:

    Each number is the sum of the two preceding numbers -> Option A
  4. Quick Check:

    Fibonacci = sum of two previous numbers [OK]
Hint: Fibonacci adds previous two numbers recursively [OK]
Common Mistakes:
  • Thinking Fibonacci multiplies previous numbers
  • Confusing subtraction or division with addition
  • Assuming Fibonacci uses only one previous number
2. Which of the following is the correct base case for a recursive Fibonacci function in C?
easy
A. if (n < 2) return 2;
B. if (n == 0) return 0; else return 1;
C. if (n <= 1) return n;
D. if (n == 1) return 0;

Solution

  1. Step 1: Identify base cases for Fibonacci

    Fibonacci sequence starts with 0 and 1 for n=0 and n=1 respectively, so base case returns n when n is 0 or 1.
  2. Step 2: Match base case syntax

    The condition if (n <= 1) return n; correctly returns 0 for n=0 and 1 for n=1.
  3. Final Answer:

    if (n <= 1) return n; -> Option C
  4. Quick Check:

    Base case returns n for n=0 or 1 [OK]
Hint: Base case returns n when n is 0 or 1 [OK]
Common Mistakes:
  • Returning 2 for base case
  • Returning 0 for n=1 incorrectly
  • Missing base case leading to infinite recursion
3. What is the output of the following C code snippet?
int fib(int n) {
  if (n <= 1) return n;
  return fib(n-1) + fib(n-2);
}

int main() {
  printf("%d", fib(4));
  return 0;
}
medium
A. 4
B. 3
C. 5
D. 7

Solution

  1. Step 1: Calculate fib(4) using recursion

    fib(4) = fib(3) + fib(2) - fib(3) = fib(2) + fib(1) = (fib(1)+fib(0)) + 1 = (1+0)+1=2 - fib(2) = fib(1) + fib(0) = 1 + 0 = 1 So fib(4) = 2 + 1 = 3
  2. Step 2: Confirm output printed

    The printf prints the integer 3.
  3. Final Answer:

    3 -> Option B
  4. Quick Check:

    fib(4) = 3 [OK]
Hint: Trace fib calls down to base cases [OK]
Common Mistakes:
  • Confusing fib(4) with fib(5)
  • Adding wrong fib values
  • Forgetting base cases
4. Identify the error in this recursive Fibonacci function and select the fix:
int fib(int n) {
  if (n == 0) return 0;
  else return fib(n-1) + fib(n-2);
}
medium
A. Add base case for n == 1 to return 1
B. Change return 0 to return 1 for n == 0
C. Remove else and just return fib(n-1) + fib(n-2)
D. Change function to iterative instead of recursive

Solution

  1. Step 1: Check base cases

    Function only returns 0 for n==0 but misses base case for n==1, causing infinite recursion for n=1.
  2. Step 2: Fix by adding base case for n==1

    Adding if (n == 1) return 1; fixes recursion and returns correct Fibonacci values.
  3. Final Answer:

    Add base case for n == 1 to return 1 -> Option A
  4. Quick Check:

    Both n=0 and n=1 base cases needed [OK]
Hint: Always include base cases for n=0 and n=1 [OK]
Common Mistakes:
  • Missing base case for n=1
  • Changing base case values incorrectly
  • Removing else causing syntax confusion
5. You want to compute the 6th Fibonacci number using recursion but want to avoid repeated calculations. Which approach improves efficiency?
hard
A. Call fib(n-1) twice to ensure correctness
B. Increase the recursion depth limit
C. Use a loop instead of recursion without storing values
D. Use memoization to store and reuse computed Fibonacci values

Solution

  1. Step 1: Understand repeated calculations in recursion

    Recursive Fibonacci calls fib(n-1) and fib(n-2) repeatedly, causing many duplicate calls and inefficiency.
  2. Step 2: Use memoization to store results

    Memoization saves computed Fibonacci values in a cache, so repeated calls return stored results instantly, improving speed.
  3. Final Answer:

    Use memoization to store and reuse computed Fibonacci values -> Option D
  4. Quick Check:

    Memoization avoids repeated work [OK]
Hint: Store results to avoid repeated recursive calls [OK]
Common Mistakes:
  • Increasing recursion depth doesn't fix inefficiency
  • Using loops without caching still repeats work
  • Calling fib(n-1) twice wastes time
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