Permutations

Problem

Given an array nums of distinct integers, return all the possible permutations. You can return the answer in any order.

Example 1:

Input: nums = [1,2,3]
Output: [[1,2,3],[1,3,2],[2,1,3],[2,3,1],[3,1,2],[3,2,1]]

Example 2:

Input: nums = [0,1]
Output: [[0,1],[1,0]]

Example 3:

Input: nums = [1]
Output: [[1]]

Constraints:

  • 1 <= nums.length <= 6
  • -10 <= nums[i] <= 10
  • All the integers of nums are unique.

Solution

I thought this was solvable with recursion, but it turns out it’s actually a backtracking problem.

Time complexity: O(n * n!)

Space complexity: O(n)

class Solution {
    public List<List<Integer>> permute(int[] nums) {
        var answer = new ArrayList<List<Integer>>();
        permute(nums, List.of(), answer);
        return answer;
    }

    public void permute(int[] nums, List<Integer> curr, List<List<Integer>> answer) {
        if (curr.size() == nums.length) {
            answer.add(curr);
        }

        for (var n : nums) {
            if (curr.contains(n)) {
                continue;
            }
            var l = new ArrayList<>(curr);
            l.add(n);
            permute(nums, l, answer);
        }
    }
}

Recent posts from blogs that I like

Lost in the log? Here’s Logistician 1.1

New version adds more detail to the list of log files, and a new graphical view to pick out anomalies in up to 6 weeks of previous log records.

via The Eclectic Light Company

Getting a better sense for when you’re thinking well and when you’re faking it

On mental proprioception

via Henrik Karlsson

Notes on Linear Algebra for Polynomials

We’ll be working with the set P_n(\mathbb{R}), real polynomials of degree \leq n. Such polynomials can be expressed using n+1 scalar coefficients a_i as follows: \[p(x)=a_0+a_1 x + a_2 x^2 + \cdots + a_n x^n\] Vector space The set P_n(\mathbb{R}), along with addition of polynomials and scalar multip...

via Eli Bendersky