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:
- Create an array called sieve with a length of max 1.
- Initialize all elements in the array to false (assuming false means the number is prime).
- Iterate through the sieve array from 2 to the square root of max.
- 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.
- 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>
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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