Similar to next permutation, the steps as follow:

1) Find k in the increasing suffix such that nums[k] > nums[k+1], if there is no such element, the permutation is the smallest like [0, 1, 2,... n], reverse it, we can get the previous permutaton.

2) Find the largest element in the increasing suffix which is smaller than nums[k], nums[p] < nums[k] ( p in [k+1, nums.size()), swap nums[k] with nums[p]

3) Since the suffix remains decreasing, which is the smallest suffix, instead we are looking for largest suffix, we can achieve this by reversing the suffix.

Time complexity: O(n), Space complexity: O(1)

public class PreviousP {

    private int findLargestNumSmallerThanK(List<Integer> nums, int k) {
for(int i = nums.size()-1; i > k; --i) {
if(nums.get(i) < nums.get(k)) return i;
}
return -1;
}
public List<Integer> previousP(List<Integer> nums) {
int size = nums.size();
int k = size - 2;
while(k >= 0 && nums.get(k) <= nums.get(k+1)) {
--k;
} if(k != -1) {
int p = findLargestNumSmallerThanK(nums, k);
Collections.swap(nums, k, p);
} Collections.reverse(nums.subList(k+1, size)); return nums;
} public static void main(String[] args) {
PreviousP p = new PreviousP();
System.out.println(p.previousP(Arrays.asList(6, 2, 3, 1, 4, 5)).toString().equals("[6, 2, 1, 5, 4, 3"));
}
}

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