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How to Implement Fibonacci Series in C#

How to Implement Fibonacci Series in C#

19 Sep 2024
Beginner
1.14K Views
17 min read
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Fibonacci Series

The Fibonacci series is a sequence of integers in which each number is the sum of the two numbers before it, beginning with 0 and 1. It is a fundamental topic in mathematics and programming, frequently used to explain recursion and dynamic programming ideas.

In this C# tutorial, I will tell you all about the Fibonacci Series using C#, so that if you are preparing for an exam or interview you can easily explain it. We will also discuss two basic approaches to implementing the Fibonacci series in C# such as  iterative and recursive methods.

What is the Fibonacci Series?

The following is a Fibonacci sequence :

0, 1, 1, 2, 3, 5, 8, 13, 21, 34...

Each number in the series is obtained by adding the two numbers preceding it. The Fibonacci series is just a sequence of numbers in the following order.

What is the Fibonacci Series?

The mathematical definition of the Fibonacci sequence is

F(0) = 0
F(1) = 1
F(n) = F(n-1) + F(n-2) for n > 1
Now that we've established the fundamental structure, let's look at how to implement the Fibonacci series in C#.

What are the different ways to implement Fibonacci in C#?

In C#, we have two options for printing the Fibonacci series. They are as follows.
  • Iterative Approach
  • Recursion Approach

Method 1: Iterative approach.

The iterative approach is efficient and easy to implement. It avoids the overhead of recursive function calls and is typically faster for longer sequences.

This is how it works.

  1. Initialize the initial two Fibonacci numbers, 0 and 1.
  2. Loop over the series and add the final two integers to find the next Fibonacci number.
  3. Save and print the calculated Fibonacci numbers.
  4. Let's implement it actually with C# Compiler.

Example

 using System;
public class Program
{
    public static void Main(string[] args)
    {
        int n = 10;  // Number of Fibonacci terms to generate
        int first = 0, second = 1, next;

        Console.WriteLine("Fibonacci Series (Iterative Method):");
        Console.Write(first + " " + second + " ");

        for (int i = 2; i < n; i++)
        {
            next = first + second;
            Console.Write(next + " ");
            first = second;
            second = next;
        }
    }
}

Output

 Fibonacci Series (Iterative Method):
0 1 1 2 3 5 8 13 21 34 

Explanation

  • We begin by defining the first two terms (0 and 1).
  • The for loop starts at index 2 (because the first two numbers have already been declared) and continues until n Fibonacci numbers are printed.
  • Inside the loop, the next Fibonacci number is calculated by adding the two numbers that came before it, which are then modified for the next iteration.
  • Advantages

  • Efficient Memory Usage: It uses only a few variables, making it memory efficient.
  • The iterative technique has O(n) time complexity.
  • Method 2: Recursive Approach.

    The recursive technique is similar to the mathematical definition of Fibonacci numbers, in that each phrase is defined using the two terms that came before it. This method, however, is inefficient for big n because it requires repeated function calls.

    Example

     using System;
    public class Program
    {
        public static void Main(string[] args)
        {
            int n = 10;  // Number of Fibonacci terms to generate
            
            Console.WriteLine("Fibonacci Series (Recursive Method):");
            for (int i = 0; i < n; i++)
            {
                Console.Write(Fibonacci(i) + " ");
            }
        }
    
        public static int Fibonacci(int n)
        {
            if (n == 0)
                return 0;
            if (n == 1)
                return 1;
            return Fibonacci(n - 1) + Fibonacci(n - 2);
        }
    }
    

    Output

     Fibonacci Series (Recursive Method):
    0 1 1 2 3 5 8 13 21 34 
    

    Explanation

  • The Fibonacci method is a recursive function that returns the nth Fibonacci number.
  • If n=0 or 1, the base situations are handled directly.
  • For values greater than one, the function calls itself twice (for n-1 and n-2) to compute the sum of the two previous integers.
  • Advantages

  • Simplicity: The recursive technique closely adheres to the mathematical formulation, making it easy to grasp intuitively.
  • Elegance: Recursive code is more concise and readable.
  • Disadvantages

  • Recursive strategy is inefficient: The recursive strategy is inefficient because it recomputes Fibonacci numbers numerous times, resulting in an exponential temporal complexity of O(2^n).
  • Stack Overflow Risk: The recursive function's deep recursion can create a stack overflow for big values of n.
  • Which Method Should You Use?

    1. For smaller values of n: The recursive approach is simple and straightforward to implement. However, when n grows, it becomes increasingly inefficient owing to duplicate calculations.
    2. For large values of n: The iterative technique is preferred. It works in linear time and is substantially more efficient at calculating huge Fibonacci numbers.

    Optimizing the Recursive Approach via Memorization

    One of the main disadvantages of recursion is its inefficiency owing to repeated calculations. Memoization is a prominent approach to overcoming this. By saving previously computed Fibonacci numbers, we avoid unnecessary calculations, significantly boosting the performance of the recursive solution.

    Example with Memoization

     using System;
    using System.Collections.Generic;
    public class Program
    {
        private static Dictionary memo = new Dictionary();
    
        public static void Main(string[] args)
        {
            int n = 10;
            
            Console.WriteLine("Fibonacci Series (Recursive with Memoization):");
            for (int i = 0; i < n; i++)
            {
                Console.Write(Fibonacci(i) + " ");
            }
        }
    
        public static int Fibonacci(int n)
        {
            if (memo.ContainsKey(n))
                return memo[n];
            
            if (n == 0)
                return 0;
            
            if (n == 1)
                return 1;
    
            int result = Fibonacci(n - 1) + Fibonacci(n - 2);
            memo[n] = result;
            return result;
        }
    }
    

    Output

     Fibonacci Series (Recursive with Memoization):
    0 1 1 2 3 5 8 13 21 34 
    

    Advantages of memorization

    Improved efficiency: Storing computed values reduces the temporal complexity to O(n). Avoid Redundant Computation: Each Fibonacci number is calculated once.

    How to find the nth Fibonacci number in the Fibonacci Series in C#?

    In addition, the nth Fibonacci number from the Fibonacci series can be printed in C#. The following example prints the nth integer in the Fibonacci sequence.

    1. Using Recursion

     using System;
    public class Program
    {
        // Recursive method to find nth Fibonacci number
        public static int Fibonacci(int n)
        {
            if (n == 0)
                return 0;
            if (n == 1)
                return 1;
            
            return Fibonacci(n - 1) + Fibonacci(n - 2);
        }
    
        public static void Main(string[] args)
        {
            
            int n = Convert.ToInt32(Console.ReadLine());
    
            int result = Fibonacci(n);
            
            Console.WriteLine($"The {n}th Fibonacci number is: {result}");
        }
    }
    

    Output

     12
    The 12th Fibonacci number is: 144
    

    Explanation

  • The Fibonacci technique uses recursion to calculate the nth Fibonacci number given an integer n.
  • When n is 0 or 1, the procedure returns 0 and 1, accordingly.
  • For any n > 1, the function calls itself twice: Fibonacci(n-1) and Fibonacci(n-2), then adds the results to get the nth Fibonacci number.
  • 2. Without Using a Recursive Function

    In this example, we will write an iterative program to discover the nth Fibonacci number (without recursion). The iterative method is more efficient and eliminates the overhead of recursive calls.
     using System;
    public class Program
    {
        public static void Main(string[] args)
        {
            // Ask user for the position of Fibonacci number
           
            int n = Convert.ToInt32(Console.ReadLine());
    
            // Check if input is valid
            if (n < 0)
            {
                Console.WriteLine("Please enter a positive integer.");
            }
            else
            {
                int result = FindFibonacci(n);
                Console.WriteLine($"The Fibonacci number at position {n} is: {result}");
            }
        }
    
        // Method to find nth Fibonacci number without recursion
        public static int FindFibonacci(int n)
        {
            if (n == 0) return 0;
            if (n == 1) return 1;
    
            int first = 0, second = 1, next = 0;
    
            // Iteratively calculate Fibonacci numbers
            for (int i = 2; i <= n; i++)
            {
                next = first + second;
                first = second;
                second = next;
            }
    
            return next;
        }
    }
    

    Output

     12
    The Fibonacci number at position 12 is: 144
    

    Explanation

  • The program first asks the user to enter the position n of the Fibonacci number they want to find.
  • The FindFibonacci method uses a loop to calculate Fibonacci numbers up to n without recursion.
  • We start with the first two Fibonacci numbers (0 and 1) and iteratively calculate the subsequent numbers in the sequence.
  • How to Print the Fibonacci Series up to a given number in C#?

    Now we'll look at how to print the Fibonacci sequence up to a certain integer in C#. Please look at the following program.
     using System;
    namespace LogicalPrograms
    {
        public class Program
        {
            static void Main(string[] args)
            {
                int firstNumber = 0, SecondNumber = 1, nextNumber, number;
                Console.Write("Fibonacci series upto given number : ");
                number = int.Parse(Console.ReadLine());
    
                //First print first and second number
                Console.Write(firstNumber + " " + SecondNumber + " ");
    
                nextNumber = firstNumber + SecondNumber;
                //Starts the loop from 2 because 0 and 1 are already printed
                for (int i = 2; nextNumber < number; i++)
                {
                    Console.Write(nextNumber + " ");
                    firstNumber = SecondNumber;
                    SecondNumber = nextNumber;
                    nextNumber = firstNumber + SecondNumber;
                }
                
                Console.ReadKey();
            }
        }
    }
    

    Output

     100
    Fibonacci series upto given number : 0 1 1 2 3 5 8 13 21 34 55 89 
    
    Summary
    By studying and applying Fibonacci in these various methods, you will not only increase your comprehension of core programming ideas but also your C# problem-solving skills. Whether you're preparing for coding interviews or developing mission-critical systems, learning both ways can help you code more efficiently. Also, Consider our C# Programming Course for a better understanding of all C# concepts.

    FAQs

    A Fibonacci series program in C# is a code implementation that generates the Fibonacci sequence, where each number is the sum of the two preceding ones, starting from 0 and 1. 

     0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377.

    In the Fibonacci sequence of numbers, each number in the sequence is the sum of the two numbers before it, with 0 and 1 as the first two numbers. 

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    About Author
    Shailendra Chauhan (Microsoft MVP, Founder & CEO at ScholarHat)

    Shailendra Chauhan, Founder and CEO of ScholarHat by DotNetTricks, is a renowned expert in System Design, Software Architecture, Azure Cloud, .NET, Angular, React, Node.js, Microservices, DevOps, and Cross-Platform Mobile App Development. His skill set extends into emerging fields like Data Science, Python, Azure AI/ML, and Generative AI, making him a well-rounded expert who bridges traditional development frameworks with cutting-edge advancements. Recognized as a Microsoft Most Valuable Professional (MVP) for an impressive 9 consecutive years (2016–2024), he has consistently demonstrated excellence in delivering impactful solutions and inspiring learners.

    Shailendra’s unique, hands-on training programs and bestselling books have empowered thousands of professionals to excel in their careers and crack tough interviews. A visionary leader, he continues to revolutionize technology education with his innovative approach.
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