Sieve of Eratosthenes Find All Primes in DSA Java - Time & Space Complexity

Time Complexity: Sieve of Eratosthenes Find All Primes

O(n log log n)

Understanding Time Complexity

We want to understand how the time needed to find all prime numbers grows as the input number gets bigger.

Specifically, how does the work change when we increase the limit up to which we find primes?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

public void sieve(int n) {
    boolean[] prime = new boolean[n + 1];
    Arrays.fill(prime, true);
    prime[0] = false;
    prime[1] = false;
    for (int i = 2; i * i <= n; i++) {
        if (prime[i]) {
            for (int j = i * i; j <= n; j += i) {
                prime[j] = false;
            }
        }
    }
}
    

This code marks all prime numbers up to n by crossing out multiples of each prime.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: Nested loops where the outer loop runs over numbers up to √n, and the inner loop marks multiples of each prime.
• How many times: Outer loop runs about √n times; inner loop runs fewer times as i grows, crossing out multiples starting from i².

How Execution Grows With Input

As n grows, the number of operations grows a bit faster than n but much less than n squared.

Input Size (n)	Approx. Operations
10	~20 operations
100	~300 operations
1000	~4,500 operations

Pattern observation: The work grows roughly like n times the logarithm of the logarithm of n, which is slower than n log n but faster than linear.

Final Time Complexity

Time Complexity: O(n log log n)

This means the time grows a bit faster than n but much slower than n squared, making it efficient for large n.

Common Mistake

[X] Wrong: "The inner loop runs n times for each i, so the time is O(n²)."

[OK] Correct: The inner loop starts at i² and skips by i, so it runs fewer times as i grows, reducing total work significantly.

Interview Connect

Understanding this algorithm's time complexity shows you can analyze nested loops with changing ranges, a common skill in coding interviews.

Self-Check

"What if we started the inner loop from 2*i instead of i*i? How would the time complexity change?"

Practice

1. What is the main purpose of the Sieve of Eratosthenes algorithm?

easy

A. To find all prime numbers up to a given limit

B. To sort an array of numbers

C. To find the greatest common divisor of two numbers

D. To reverse a string

Solution

1. Step 1: Understand the algorithm's goal

   The Sieve of Eratosthenes is designed to identify prime numbers efficiently.

2. Step 2: Recognize the output

   It marks multiples of primes as non-prime, leaving primes unmarked up to a limit.

3. Final Answer:

   To find all prime numbers up to a given limit -> Option A

4. Quick Check:

   Prime finding = To find all prime numbers up to a given limit [OK]

Hint: Sieve marks multiples to find primes fast [OK]

Common Mistakes:

• Confusing with sorting algorithms
• Thinking it finds divisors
• Assuming it manipulates strings

2. Which of the following Java code snippets correctly initializes the boolean array for the sieve to find primes up to n?

easy

A. boolean[] prime = new boolean[n+1]; Arrays.fill(prime, false);

B. boolean[] prime = new boolean[n+1]; Arrays.fill(prime, true);

C. boolean[] prime = new boolean[n]; Arrays.fill(prime, false);

D. boolean[] prime = new boolean[n]; Arrays.fill(prime, true);

Solution

1. Step 1: Check array size for indexing

   We need size n+1 to include number n as index.

2. Step 2: Initialize all as true

   All numbers start as prime candidates, so fill with true.

3. Final Answer:

   boolean[] prime = new boolean[n+1]; Arrays.fill(prime, true); -> Option B

4. Quick Check:

   Array size n+1 and true fill = boolean[] prime = new boolean[n+1]; Arrays.fill(prime, true); [OK]

Hint: Use n+1 size and fill true for sieve array [OK]

Common Mistakes:

• Using size n instead of n+1
• Filling array with false initially
• Confusing array size and indexing

3. What will be the output list of primes printed by the following Java code snippet for n = 10?

int n = 10;
boolean[] prime = new boolean[n+1];
Arrays.fill(prime, true);
prime[0] = false; prime[1] = false;
for (int p = 2; p * p <= n; p++) {
  if (prime[p]) {
    for (int i = p * p; i <= n; i += p) {
      prime[i] = false;
    }
  }
}
for (int i = 2; i <= n; i++) {
  if (prime[i]) System.out.print(i + " ");
}

medium

A. 2 3 5 7

B. 2 3 4 5 7

C. 1 2 3 5 7

D. 2 3 5 7 9

Solution

1. Step 1: Initialize primes and mark 0,1 false

   prime[0] and prime[1] are false; others true initially.

2. Step 2: Mark multiples of primes false

   Multiples of 2 (4,6,8,10) and 3 (9) are marked false.

3. Step 3: Print primes from 2 to 10

   Remaining true indices are 2,3,5,7.

4. Final Answer:

   2 3 5 7 -> Option A

5. Quick Check:

   Primes up to 10 = 2 3 5 7 [OK]

Hint: Mark multiples starting from p*p to optimize [OK]

Common Mistakes:

• Including 1 as prime
• Printing non-prime numbers like 4 or 9
• Not starting inner loop from p*p

4. Identify the error in the following Java code snippet implementing the Sieve of Eratosthenes:

int n = 20;
boolean[] prime = new boolean[n+1];
Arrays.fill(prime, true);
prime[0] = false; prime[1] = false;
for (int p = 2; p <= n; p++) {
  if (prime[p]) {
    for (int i = p * 2; i <= n; i += p) {
      prime[i] = false;
    }
  }
}

medium

A. Arrays.fill should initialize with false, not true

B. The inner loop should start from p, not p*2

C. The outer loop should run only up to sqrt(n), not n

D. prime[0] and prime[1] should be true

Solution

1. Step 1: Check outer loop range

   Outer loop runs from 2 to n, but it is enough to run up to sqrt(n) for efficiency.

2. Step 2: Confirm inner loop start and initialization

   Inner loop correctly starts at p*2; prime[0] and prime[1] are correctly false; array filled with true.

3. Final Answer:

   The outer loop should run only up to sqrt(n), not n -> Option C

4. Quick Check:

   Loop limit optimization = The outer loop should run only up to sqrt(n), not n [OK]

Hint: Outer loop limit is sqrt(n) for efficiency [OK]

Common Mistakes:

• Running outer loop up to n wastes time
• Starting inner loop incorrectly
• Wrong initialization of prime array

5. You want to find all prime numbers up to n = 50 using the Sieve of Eratosthenes. After running the sieve, how many prime numbers will be found?

hard

A. 13

B. 16

C. 14

D. 15

Solution

1. Step 1: List primes up to 50

   Primes are 2,3,5,7,11,13,17,19,23,29,31,37,41,43,47 (total 15).

2. Step 2: Count primes carefully

   Counting again: 2,3,5,7,11,13,17,19,23,29,31,37,41,43,47 = 15 primes.

3. Step 3: Verify options

   15 says 15, 16 says 16; correct count is 15.

4. Final Answer:

   15 -> Option D

5. Quick Check:

   Count primes ≤ 50 = 15 [OK]

Hint: Memorize primes or count after sieve [OK]

Common Mistakes:

• Counting 1 as prime
• Miscounting primes between 40 and 50
• Assuming 16 primes instead of 15