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2 | 2 |
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3 | 3 | // #Medium #Top_100_Liked_Questions #Array #Dynamic_Programming #Greedy
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4 | 4 | // #Algorithm_II_Day_13_Dynamic_Programming #Dynamic_Programming_I_Day_4
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5 |
| -// #Big_O_Time_O(n)_Space_O(1) #2024_11_10_Time_0_ms_(100.00%)_Space_44.9_MB_(75.73%) |
| 5 | +// #Big_O_Time_O(n)_Space_O(1) #2024_11_10_Time_0_ms_(100.00%)_Space_45_MB_(64.44%) |
6 | 6 |
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7 | 7 | public class Solution {
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8 |
| - public int jump(int[] nums) { |
9 |
| - if (nums.length == 1) { |
10 |
| - return 0; |
| 8 | + private int getMax(int[] nums, int l, int r) { |
| 9 | + int max = -1; |
| 10 | + int curr = -1; |
| 11 | + for (int i = l; i <= r; i++) { |
| 12 | + curr = i + nums[i]; |
| 13 | + max = Math.max(max, curr); |
11 | 14 | }
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12 |
| - return minJumps(nums, 0, 0); |
| 15 | + return max; |
13 | 16 | }
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14 | 17 |
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15 |
| - private int minJumps(int[] nums, int currIndex, int jumpStatus) { |
16 |
| - if (currIndex + nums[currIndex] >= nums.length - 1) { |
17 |
| - return jumpStatus + 1; |
18 |
| - } |
19 |
| - int nextIndex = currIndex + 1; |
20 |
| - int distanceLeft = (nums.length - 1 - (currIndex + 1)) - nums[currIndex + 1]; |
21 |
| - for (int i = currIndex + 2; i <= (currIndex + nums[currIndex]); i++) { |
22 |
| - int tempDistanceLeft = (nums.length - 1 - i) - nums[i]; |
23 |
| - if (distanceLeft > tempDistanceLeft) { |
24 |
| - distanceLeft = tempDistanceLeft; |
25 |
| - nextIndex = i; |
26 |
| - } |
| 18 | + public int jump(int[] nums) { |
| 19 | + int l = 0; |
| 20 | + int r = 0; |
| 21 | + int jumps = 0; |
| 22 | + while (r < nums.length - 1) { |
| 23 | + int prev = r; |
| 24 | + r = getMax(nums, l, r); |
| 25 | + l = prev + 1; |
| 26 | + jumps++; |
27 | 27 | }
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28 |
| - return minJumps(nums, nextIndex, jumpStatus + 1); |
| 28 | + return jumps; |
29 | 29 | }
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30 | 30 | }
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