Table of Contents
Finding Prime Numbers in a Given Range
Brute Force Approach
Sieve of Eratosthenes
Home Web Front-end JS Tutorial How do you efficiently find prime numbers within a given range?

How do you efficiently find prime numbers within a given range?

Nov 02, 2024 pm 09:23 PM

How do you efficiently find prime numbers within a given range?

Finding Prime Numbers in a Given Range

In mathematics, prime numbers are whole numbers greater than 1 that are not divisible by any other number except 1 and themselves. Finding prime numbers within a specific range can be a common programming task. Here's a detailed explanation of how to approach this problem in JavaScript:

Brute Force Approach

The provided code snippet tries to find prime numbers between 0 and 100 using a brute force approach. It checks if the number is divisible by any number from 2 to 12 and returns the number if no divisors are found. However, this approach has several drawbacks:

  • It's inefficient, especially for larger ranges.
  • It's hard to extend to find primes for bigger ranges.

Sieve of Eratosthenes

A more efficient algorithm for finding prime numbers is called the Sieve of Eratosthenes. Here's how it works:

  1. Create an array called sieve with a length of max 1.
  2. Initialize all elements in the array to false (assuming false means the number is prime).
  3. Iterate through the sieve array from 2 to the square root of max.
  4. For each prime number i, mark all its multiples as non-prime by setting sieve[i j] to true for all j from i j to max.
  5. After the iteration, the unmarked numbers in the sieve array are prime numbers.

In JavaScript, the code for the Sieve of Eratosthenes looks like this:

<code class="js">function getPrimes(max) {
    var sieve = [], i, j, primes = [];
    for (i = 2; i <= max; ++i) {
        if (!sieve[i]) {
            // i has not been marked -- it is prime
            primes.push(i);
            for (j = i << 1; j <= max; j += i) {
                sieve[j] = true;
            }
        }
    }
    return primes;
}</code>
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This approach has a time complexity of O(n log log n), which is much more efficient than the brute force approach.

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