BFS in Big-O of 3M steps
You are given a 0-indexed integer array nums
containing distinct numbers, an integer start
, and an integer goal
. There is an integer x
that is initially set to start
, and you want to perform operations on x
such that it is converted to goal
. You can perform the following operation repeatedly on the number x
:
If 0 <= x <= 1000
, then for any index i
in the array (0 <= i < nums.length
), you can set x
to any of the following:
x + nums[i]
x - nums[i]
x ^ nums[i]
(bitwise-XOR)
Note that you can use each nums[i]
any number of times in any order. Operations that set x
to be out of the range 0 <= x <= 1000
are valid, but no more operations can be done afterward.
Return the minimum number of operations needed to convert x = start
into goal
, and -1
if it is not possible.
Example 1:
Input: nums = [1,3], start = 6, goal = 4 Output: 2 Explanation: We can go from 6 → 7 → 4 with the following 2 operations. - 6 ^ 1 = 7 - 7 ^ 3 = 4
Example 2:
Input: nums = [2,4,12], start = 2, goal = 12 Output: 2 Explanation: We can go from 2 → 14 → 12 with the following 2 operations. - 2 + 12 = 14 - 14 - 2 = 12
Example 3:
Input: nums = [3,5,7], start = 0, goal = -4 Output: 2 Explanation: We can go from 0 → 3 → -4 with the following 2 operations. - 0 + 3 = 3 - 3 - 7 = -4 Note that the last operation sets x out of the range 0 <= x <= 1000, which is valid.
Example 4:
Input: nums = [2,8,16], start = 0, goal = 1 Output: -1 Explanation: There is no way to convert 0 into 1.
Example 5:
Input: nums = [1], start = 0, goal = 3 Output: 3 Explanation: We can go from 0 → 1 → 2 → 3 with the following 3 operations. - 0 + 1 = 1 - 1 + 1 = 2 - 2 + 1 = 3
Constraints:
1 <= nums.length <= 1000
-109 <= nums[i], goal <= 109
0 <= start <= 1000
start != goal
- All the integers in
nums
are distinct.
public class NumQueueItem { public long n = 0; public int numberOfSteps = 0; public NumQueueItem(long n, int numberOfSteps) { this.n = n; this.numberOfSteps = numberOfSteps; } } public int MinimumOperations(int[] nums, int start, int goal) { Queuequeue = new Queue (); Hashtable visited = new Hashtable(); NumQueueItem qi = new NumQueueItem((long)start, 0); queue.Enqueue(qi); visited.Add(qi.n, true); while (queue.Count > 0) //O(1000) { NumQueueItem cqi = queue.Dequeue(); if ((int)cqi.n == goal) return cqi.numberOfSteps; for (int i = 0; i < nums.Length; i++) //O(1000) { long[] candidates = { cqi.n + nums[i], cqi.n - nums[i], cqi.n ^ nums[i] }; foreach (long candidate in candidates) //O(3) { if (!visited.ContainsKey(candidate)) { if ((int)candidate == goal) { return cqi.numberOfSteps + 1; } else if (candidate >= 0 && candidate <= 1000) { NumQueueItem nqi = new NumQueueItem(candidate, cqi.numberOfSteps + 1); queue.Enqueue(nqi); visited.Add(nqi.n, true); } } } } } return -1; }
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