Fibonacci Using DP in DSA Java - Build from Scratch

Fibonacci Using DP

📖 Scenario: You are building a simple program to find the Fibonacci number at a given position. Fibonacci numbers start with 0 and 1, and each next number is the sum of the two before it. To make this faster, you will use a method called Dynamic Programming (DP) that remembers past results.

🎯 Goal: Build a Java program that uses Dynamic Programming to find the Fibonacci number at position n. You will create an array to store results, fill it step-by-step, and then print the final Fibonacci number.

📋 What You'll Learn

Create an integer array called fib with size n + 1

Create an integer variable called n and set it to 10

Initialize the first two Fibonacci numbers in fib[0] and fib[1]

Use a for loop with variable i from 2 to n to fill the fib array

Print the Fibonacci number at position n using System.out.println(fib[n])

💡 Why This Matters

🌍 Real World

Fibonacci numbers appear in nature, computer algorithms, and financial models. Using Dynamic Programming helps calculate them quickly without repeating work.

💼 Career

Understanding Dynamic Programming and array usage is important for software development, especially in optimization problems and algorithm design.

1

Create the Fibonacci array and position variable

Create an integer variable called n and set it to 10. Then create an integer array called fib with size n + 1.

DSA Java

// Your code here

Hint

Use int n = 10; and int[] fib = new int[n + 1]; to create the variable and array.

2

Initialize the first two Fibonacci numbers

Set fib[0] to 0 and fib[1] to 1 to start the Fibonacci sequence.

DSA Java

public class FibonacciDP {
    public static void main(String[] args) {
        int n = 10;
        int[] fib = new int[n + 1];
        // Your code here
    }
}

Hint

Assign fib[0] = 0; and fib[1] = 1; to set the first two numbers.

3

Fill the Fibonacci array using a for loop

Use a for loop with variable i from 2 to n (inclusive). Inside the loop, set fib[i] to fib[i - 1] + fib[i - 2].

DSA Java

public class FibonacciDP {
    public static void main(String[] args) {
        int n = 10;
        int[] fib = new int[n + 1];
        fib[0] = 0;
        fib[1] = 1;
        // Your code here
    }
}

Hint

Use a for loop from 2 to n and update fib[i] by adding the two previous values.

4

Print the Fibonacci number at position n

Print the Fibonacci number at position n using System.out.println(fib[n]).

DSA Java

public class FibonacciDP {
    public static void main(String[] args) {
        int n = 10;
        int[] fib = new int[n + 1];
        fib[0] = 0;
        fib[1] = 1;
        for (int i = 2; i <= n; i++) {
            fib[i] = fib[i - 1] + fib[i - 2];
        }
        // Your code here
    }
}

Hint

Use System.out.println(fib[n]); to print the result.

Practice

1. What is the main advantage of using Dynamic Programming (DP) to calculate Fibonacci numbers compared to a simple recursive approach?

easy

A. It uses less memory by not storing any intermediate results.

B. It avoids repeated calculations by storing results of subproblems.

C. It calculates Fibonacci numbers using a closed-form formula.

D. It uses randomization to speed up the calculation.

Solution

1. Step 1: Understand recursive Fibonacci drawbacks

   Simple recursion recalculates the same Fibonacci numbers many times, causing inefficiency.

2. Step 2: How DP improves calculation

   DP stores results of smaller Fibonacci numbers to reuse them, avoiding repeated work.

3. Final Answer:

   It avoids repeated calculations by storing results of subproblems. -> Option B

4. Quick Check:

   DP stores subproblem results = avoids repeats [OK]

Hint: DP saves previous results to avoid repeated work [OK]

Common Mistakes:

• Thinking DP uses less memory than recursion
• Confusing DP with closed-form formulas
• Believing DP uses randomization

2. Which of the following Java code snippets correctly initializes the DP array for Fibonacci calculation of size n?

easy

A. int[] dp = new int[n]; dp[0] = 0; dp[1] = 1;

B. int[] dp = new int[n]; dp[0] = 1; dp[1] = 1;

C. int[] dp = new int[n-1]; dp[0] = 0; dp[1] = 1;

D. int[] dp = new int[n+1]; dp[0] = 0; dp[1] = 1;

Solution

1. Step 1: Determine array size for Fibonacci DP

   To store Fibonacci numbers up to n, array size must be n+1 to include index n.

2. Step 2: Check base cases initialization

   Fibonacci starts with dp[0] = 0 and dp[1] = 1, so these must be set correctly.

3. Final Answer:

   int[] dp = new int[n+1]; dp[0] = 0; dp[1] = 1; -> Option D

4. Quick Check:

   Array size n+1 with dp[0]=0, dp[1]=1 = correct initialization [OK]

Hint: Array size must be n+1 to hold Fibonacci up to n [OK]

Common Mistakes:

• Using array size n instead of n+1
• Initializing dp[0] as 1 instead of 0
• Using array size n-1 causing index errors

3. What is the output of the following Java code snippet?

int n = 5;
int[] dp = new int[n+1];
dp[0] = 0;
dp[1] = 1;
for (int i = 2; i <= n; i++) {
    dp[i] = dp[i-1] + dp[i-2];
}
System.out.println(dp[n]);

medium

A. 3

B. 8

C. 5

D. 13

Solution

1. Step 1: Calculate Fibonacci values up to n=5

   dp[0]=0, dp[1]=1 Then dp[2]=1, dp[3]=2, dp[4]=3, dp[5]=5

2. Step 2: Output dp[5]

   The value at dp[5] is 5, so the output is 5.

3. Final Answer:

   5 -> Option C

4. Quick Check:

   Fibonacci(5) = 5 [OK]

Hint: Fibonacci(5) is 5 by definition [OK]

Common Mistakes:

• Confusing index with Fibonacci value
• Calculating dp[5] as 8 (Fibonacci(6))
• Off-by-one errors in loop

4. Identify the error in the following Java code for Fibonacci using DP and select the correct fix:

int n = 6;
int[] dp = new int[n];
dp[0] = 0;
dp[1] = 1;
for (int i = 2; i <= n; i++) {
    dp[i] = dp[i-1] + dp[i-2];
}
System.out.println(dp[n]);

medium

A. Change array size to n+1 to avoid index out of bounds error.

B. Initialize dp[2] = 1 before the loop.

C. Change loop condition to i < n instead of i <= n.

D. Remove dp[0] initialization.

Solution

1. Step 1: Analyze array size and loop bounds

   Array dp has size n (6), but loop runs i from 2 to 6 inclusive, accessing dp[6] which is out of bounds.

2. Step 2: Fix array size to n+1

   Increasing array size to n+1 (7) allows dp[6] access without error.

3. Final Answer:

   Change array size to n+1 to avoid index out of bounds error. -> Option A

4. Quick Check:

   Array size n+1 fixes index error [OK]

Hint: Array size must cover max index used in loop [OK]

Common Mistakes:

• Ignoring index out of bounds exception
• Changing loop condition without fixing array size
• Unnecessary initialization of dp[2]

5. You want to calculate the 10th Fibonacci number using DP but with space optimization to use only two variables instead of an array. Which code snippet correctly implements this?

hard

A. int a = 0, b = 1, c = 0; for (int i = 2; i <= 10; i++) { c = a + b; a = b; b = c; } System.out.println(c);

B. int a = 0, b = 1; for (int i = 2; i <= 10; i++) { a = a + b; b = a; } System.out.println(b);

C. int a = 0, b = 1; for (int i = 2; i < 10; i++) { int c = a + b; a = b; b = c; } System.out.println(b);

D. int a = 1, b = 1; for (int i = 2; i <= 10; i++) { int c = a + b; a = b; b = c; } System.out.println(b);

Solution

1. Step 1: Understand space optimization for Fibonacci

   We only need last two Fibonacci numbers to calculate the next, so two variables plus one temp variable suffice.

2. Step 2: Check loop and initialization correctness

   Start with a=0, b=1 (F0 and F1), loop from 2 to 10 inclusive, update c = a+b, then shift a=b, b=c.

3. Step 3: Verify output

   After loop, c holds Fibonacci(10) = 55, which is printed.

4. Final Answer:

   int a = 0, b = 1, c = 0; for (int i = 2; i <= 10; i++) { c = a + b; a = b; b = c; } System.out.println(c); -> Option A

5. Quick Check:

   Two vars + temp, correct loop = Fibonacci(10) [OK]

Hint: Use two vars and update in loop to save space [OK]

Common Mistakes:

• Incorrect loop bounds causing off-by-one
• Wrong initial values for a and b
• Not updating variables in correct order