209.minimum-size-subarray-sum
🟡 2023-07-06
#array #binary_search #sliding_window #prefix_sum
Given an array of positive integers
Example 1:
Example 2:
Example 3:
Constraints:
●
●
●
Follow up: If you have figured out the
via LeetCode Daily Question
🟡 2023-07-06
#array #binary_search #sliding_window #prefix_sum
Given an array of positive integers
nums
and a positive integer target
, return the minimal length of a subarray whose sum is greater than or equal to target
. If there is no such subarray, return 0
instead.Example 1:
Input: target = 7, nums = [2,3,1,2,4,3]
Output: 2
Explanation: The subarray [4,3] has the minimal length under the problem constraint.
Example 2:
Input: target = 4, nums = [1,4,4]
Output: 1
Example 3:
Input: target = 11, nums = [1,1,1,1,1,1,1,1]
Output: 0
Constraints:
●
1 <= target <= 109
●
1 <= nums.length <= 105
●
1 <= nums[i] <= 104
Follow up: If you have figured out the
O(n)
solution, try coding another solution of which the time complexity is O(n log(n))
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2024.maximize-the-confusion-of-an-exam
🟡 2023-07-07
#string #binary_search #sliding_window #prefix_sum
A teacher is writing a test with
You are given a string
● Change the answer key for any question to
Return the maximum number of consecutive
Example 1:
Example 2:
Example 3:
Constraints:
●
●
●
●
via LeetCode Daily Question
🟡 2023-07-07
#string #binary_search #sliding_window #prefix_sum
A teacher is writing a test with
n
true/false questions, with 'T'
denoting true and 'F'
denoting false. He wants to confuse the students by maximizing the number of consecutive questions with the same answer (multiple trues or multiple falses in a row).You are given a string
answerKey
, where answerKey[i]
is the original answer to the ith
question. In addition, you are given an integer k
, the maximum number of times you may perform the following operation:● Change the answer key for any question to
'T'
or 'F'
(i.e., set answerKey[i]
to 'T'
or 'F'
).Return the maximum number of consecutive
'T'
s or 'F'
s in the answer key after performing the operation at most k
times.Example 1:
Input: answerKey = "TTFF", k = 2
Output: 4
Explanation: We can replace both the 'F's with 'T's to make answerKey = "TTTT".
There are four consecutive 'T's.
Example 2:
Input: answerKey = "TFFT", k = 1
Output: 3
Explanation: We can replace the first 'T' with an 'F' to make answerKey = "FFFT".
Alternatively, we can replace the second 'T' with an 'F' to make answerKey = "TFFF".
In both cases, there are three consecutive 'F's.
Example 3:
Input: answerKey = "TTFTTFTT", k = 1
Output: 5
Explanation: We can replace the first 'F' to make answerKey = "TTTTTFTT"
Alternatively, we can replace the second 'F' to make answerKey = "TTFTTTTT".
In both cases, there are five consecutive 'T's.
Constraints:
●
n == answerKey.length
●
1 <= n <= 5 * 104
●
answerKey[i]
is either 'T'
or 'F'
●
1 <= k <= n
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1695.maximum-erasure-value
🟡 2025-07-22
#array #hash_table #sliding_window
You are given an array of positive integers
Return the maximum score you can get by erasing exactly one subarray.
An array
Example 1:
Example 2:
Constraints:
●
●
🟡 2025-07-22
#array #hash_table #sliding_window
You are given an array of positive integers
nums
and want to erase a subarray containing unique elements. The score you get by erasing the subarray is equal to the sum of its elements.Return the maximum score you can get by erasing exactly one subarray.
An array
b
is called to be a subarray of a
if it forms a contiguous subsequence of a
, that is, if it is equal to a[l],a[l+1],...,a[r]
for some (l,r)
.Example 1:
Input: nums = [4,2,4,5,6]
Output: 17
Explanation: The optimal subarray here is [2,4,5,6].
Example 2:
Input: nums = [5,2,1,2,5,2,1,2,5]
Output: 8
Explanation: The optimal subarray here is [5,2,1] or [1,2,5].
Constraints:
●
1 <= nums.length <= 105
●
1 <= nums[i] <= 104