Maximum Subarray: the idea to remember.
Find the largest sum among nonempty contiguous subarrays.
The core insight
At each value, choose between starting a new segment and extending the best segment ending just before it.
Why it works
Any segment ending at i either starts at i or extends a segment ending at i minus one; keeping only the best such suffix is sufficient.
The mistake to avoid
Initialize from the first value so an all negative array does not incorrectly return zero.
Commented Java solution
Use java.util.* imports and a surrounding solution class. Tree snippets assume the standard TreeNode definition; linked lists use ListNode and Clone Graph uses a Node with val and neighbors; Copy Random List uses Node with val, next and random. Read the input assumptions above.
int maxSubArray(int[] nums) {
int ending = nums[0], best = nums[0];
for (int i = 1; i < nums.length; i++) {
ending = Math.max(nums[i], ending + nums[i]);
best = Math.max(best, ending);
}
return best;
}Make the next connection
Independent revision notes with credited Java references. Not affiliated with LeetCode or the source sheets.