Given a non-negative integer n return the factorial of n, also denoted as n!
n! = 1 * 2 * 3 * ... * (n - 1) * nExample:
Input: n = 5 Output: 120 Explanation: 5! = 1 * 2 * 3 * 4 * 5 = 120
Your algorithm should run in O(n) time and use O(1) space.
The core challenge of this problem is to compute the factorial of a given non-negative integer n. The factorial of a number is the product of all positive integers less than or equal to that number. Factorials are commonly used in permutations, combinations, and other mathematical computations.
Potential pitfalls include handling the edge case where n is 0, as 0! is defined to be 1.
To solve this problem, we can use an iterative approach. The naive solution involves using a loop to multiply the numbers from 1 to n. This approach is straightforward and efficient for this problem.
The naive solution involves initializing a variable to 1 and then iterating from 1 to n, multiplying the variable by the current number in each iteration. This solution is optimal for this problem as it runs in O(n) time and uses O(1) space.
Since the naive solution is already optimal for this problem, there is no need for further optimization. However, we can discuss the thought process and how to derive it:
fact
to 1.fact
by the current number.fact
after the loop terminates.Here is a step-by-step breakdown of the algorithm:
fact
to 1.for
loop to iterate from 1 to n.fact
by the current number i
.fact
./**
* Function to compute the factorial of a non-negative integer n
* @param {number} n - The non-negative integer
* @returns {number} - The factorial of n
*/
function factorial(n) {
// Initialize the result to 1
let fact = 1;
// Iterate from 1 to n
for (let i = 1; i <= n; i++) {
// Multiply fact by the current number i
fact *= i;
}
// Return the computed factorial
return fact;
}
// Example usage:
console.log(factorial(5)); // Output: 120
The time complexity of this algorithm is O(n) because we have a single loop that iterates from 1 to n. The space complexity is O(1) because we are using a constant amount of extra space (the variable fact
).
Potential edge cases include:
Example edge case:
Input: n = 0 Output: 1 Explanation: 0! = 1
To test the solution comprehensively, include a variety of test cases:
factorial(1)
, factorial(2)
factorial(0)
factorial(20)
Example test cases:
console.log(factorial(0)); // Output: 1
console.log(factorial(1)); // Output: 1
console.log(factorial(2)); // Output: 2
console.log(factorial(5)); // Output: 120
console.log(factorial(10)); // Output: 3628800
When approaching such problems, consider the following tips:
In this blog post, we discussed how to compute the factorial of a non-negative integer using an iterative approach in JavaScript. We covered the problem definition, approach, algorithm, code implementation, complexity analysis, edge cases, and testing. Understanding and solving such problems is crucial for developing strong problem-solving skills in programming.
For further reading and practice problems related to the topic, consider the following resources: