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DSA Javaprogramming~10 mins

Fibonacci Using DP in DSA Java - Interactive Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to initialize the base case for Fibonacci DP array.

DSA Java
int[] fib = new int[n + 1];
fib[0] = [1];
Drag options to blanks, or click blank then click option'
A0
B1
C-1
Dn
Attempts:
3 left
💡 Hint
Common Mistakes
Setting fib[0] to 1 instead of 0
Using negative numbers for base case
2fill in blank
medium

Complete the code to initialize the second base case for Fibonacci DP array.

DSA Java
fib[1] = [1];
Drag options to blanks, or click blank then click option'
A1
B0
C2
Dn
Attempts:
3 left
💡 Hint
Common Mistakes
Setting fib[1] to 0
Using n or other values
3fill in blank
hard

Fix the error in the loop to correctly compute Fibonacci numbers using DP.

DSA Java
for (int i = 2; i <= n; i++) {
    fib[i] = fib[i - 1] [1] fib[i - 2];
}
Drag options to blanks, or click blank then click option'
A-
B+
C*
D/
Attempts:
3 left
💡 Hint
Common Mistakes
Using subtraction or multiplication instead of addition
Using division which is incorrect
4fill in blank
hard

Fill both blanks to complete the method that returns the nth Fibonacci number using DP.

DSA Java
public static int fibonacci(int n) {
    int[] fib = new int[n + 1];
    fib[0] = [1];
    fib[1] = [2];
    for (int i = 2; i <= n; i++) {
        fib[i] = fib[i - 1] + fib[i - 2];
    }
    return fib[n];
}
Drag options to blanks, or click blank then click option'
A0
B1
Cn
D-1
Attempts:
3 left
💡 Hint
Common Mistakes
Swapping the base cases
Using invalid values for base cases
5fill in blank
hard

Fill all three blanks to create a map comprehension that stores Fibonacci numbers for keys 0 to n where value is fib[key].

DSA Java
Map<Integer, Integer> fibMap = new HashMap<>();
for (int i = 0; i <= n; i++) {
    fibMap.put([1], [2]);
}
return fibMap.get([3]);
Drag options to blanks, or click blank then click option'
Ai
Bfib[i]
Cn
D0
Attempts:
3 left
💡 Hint
Common Mistakes
Using wrong keys or values in the map
Returning wrong key from the map

Practice

(1/5)
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
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