2025-08-07
3363. Find the Maximum Number of Fruits Collected
Topic: Array, Dynamic Programming, Matrix
Difficulty: Hard
Problem:
There is a game dungeon comprised of
You are given a 2D array
The children will make exactly
• The child starting from
• The child starting from
• The child starting from
When a child enters a room, they will collect all the fruits there. If two or more children enter the same room, only one child will collect the fruits, and the room will be emptied after they leave.
Return the maximum number of fruits the children can collect from the dungeon.
Example 1:
Input: fruits = [1,2,3,4,5,6,8,7,9,10,11,12,13,14,15,16]
Output: 100
Explanation:
Image: https://assets.leetcode.com/uploads/2024/10/15/example_1.gif
In this example:
• The 1^st child (green) moves on the path
• The 2^nd child (red) moves on the path
• The 3^rd child (blue) moves on the path
In total they collect
Example 2:
Input: fruits = [1,1,1,1]
Output: 4
Explanation:
In this example:
• The 1^st child moves on the path
• The 2^nd child moves on the path
• The 3^rd child moves on the path
In total they collect
Constraints:
•
•
  3363. Find the Maximum Number of Fruits Collected
Topic: Array, Dynamic Programming, Matrix
Difficulty: Hard
Problem:
There is a game dungeon comprised of
n x n rooms arranged in a grid.You are given a 2D array
fruits of size n x n, where fruits[i][j] represents the number of fruits in the room (i, j). Three children will play in the game dungeon, with initial positions at the corner rooms (0, 0), (0, n - 1), and (n - 1, 0).The children will make exactly
n - 1 moves according to the following rules to reach the room (n - 1, n - 1):• The child starting from
(0, 0) must move from their current room (i, j) to one of the rooms (i + 1, j + 1), (i + 1, j), and (i, j + 1) if the target room exists.• The child starting from
(0, n - 1) must move from their current room (i, j) to one of the rooms (i + 1, j - 1), (i + 1, j), and (i + 1, j + 1) if the target room exists.• The child starting from
(n - 1, 0) must move from their current room (i, j) to one of the rooms (i - 1, j + 1), (i, j + 1), and (i + 1, j + 1) if the target room exists.When a child enters a room, they will collect all the fruits there. If two or more children enter the same room, only one child will collect the fruits, and the room will be emptied after they leave.
Return the maximum number of fruits the children can collect from the dungeon.
Example 1:
Input: fruits = [1,2,3,4,5,6,8,7,9,10,11,12,13,14,15,16]
Output: 100
Explanation:
Image: https://assets.leetcode.com/uploads/2024/10/15/example_1.gif
In this example:
• The 1^st child (green) moves on the path
(0,0) -> (1,1) -> (2,2) -> (3, 3).• The 2^nd child (red) moves on the path
(0,3) -> (1,2) -> (2,3) -> (3, 3).• The 3^rd child (blue) moves on the path
(3,0) -> (3,1) -> (3,2) -> (3, 3).In total they collect
1 + 6 + 11 + 16 + 4 + 8 + 12 + 13 + 14 + 15 = 100 fruits.Example 2:
Input: fruits = [1,1,1,1]
Output: 4
Explanation:
In this example:
• The 1^st child moves on the path
(0,0) -> (1,1).• The 2^nd child moves on the path
(0,1) -> (1,1).• The 3^rd child moves on the path
(1,0) -> (1,1).In total they collect
1 + 1 + 1 + 1 = 4 fruits.Constraints:
•
2 <= n == fruits.length == fruits[i].length <= 1000•
0 <= fruits[i][j] <= 10002025-08-08
808. Soup Servings
Topic: Math, Dynamic Programming, Probability and Statistics
Difficulty: Medium
Problem:
You have two soups, A and B, each starting with
• pour 100 mL from type A and 0 mL from type B
• pour 75 mL from type A and 25 mL from type B
• pour 50 mL from type A and 50 mL from type B
• pour 25 mL from type A and 75 mL from type B
Note:
• There is no operation that pours 0 mL from A and 100 mL from B.
• The amounts from A and B are poured simultaneously during the turn.
• If an operation asks you to pour more than you have left of a soup, pour all that remains of that soup.
The process stops immediately after any turn in which one of the soups is used up.
Return the probability that A is used up before B, plus half the probability that both soups are used up in the same turn. Answers within
Example 1:
Example 2:
Constraints:
•
  808. Soup Servings
Topic: Math, Dynamic Programming, Probability and Statistics
Difficulty: Medium
Problem:
You have two soups, A and B, each starting with
n mL. On every turn, one of the following four serving operations is chosen at random, each with probability 0.25 independent of all previous turns:• pour 100 mL from type A and 0 mL from type B
• pour 75 mL from type A and 25 mL from type B
• pour 50 mL from type A and 50 mL from type B
• pour 25 mL from type A and 75 mL from type B
Note:
• There is no operation that pours 0 mL from A and 100 mL from B.
• The amounts from A and B are poured simultaneously during the turn.
• If an operation asks you to pour more than you have left of a soup, pour all that remains of that soup.
The process stops immediately after any turn in which one of the soups is used up.
Return the probability that A is used up before B, plus half the probability that both soups are used up in the same turn. Answers within
10^-5 of the actual answer will be accepted.Example 1:
Input: n = 50
Output: 0.62500
Explanation:
If we perform either of the first two serving operations, soup A will become empty first.
If we perform the third operation, A and B will become empty at the same time.
If we perform the fourth operation, B will become empty first.
So the total probability of A becoming empty first plus half the probability that A and B become empty at the same time, is 0.25 * (1 + 1 + 0.5 + 0) = 0.625.
Example 2:
Input: n = 100
Output: 0.71875
Explanation:
If we perform the first serving operation, soup A will become empty first.
If we perform the second serving operations, A will become empty on performing operation [1, 2, 3], and both A and B become empty on performing operation 4.
If we perform the third operation, A will become empty on performing operation [1, 2], and both A and B become empty on performing operation 3.
If we perform the fourth operation, A will become empty on performing operation 1, and both A and B become empty on performing operation 2.
So the total probability of A becoming empty first plus half the probability that A and B become empty at the same time, is 0.71875.
Constraints:
•
0 <= n <= 10^92025-08-09
231. Power of Two
Topic: Math, Bit Manipulation, Recursion
Difficulty: Easy
Problem:
Given an integer
An integer
Example 1:
Example 2:
Example 3:
Constraints:
•
Follow up: Could you solve it without loops/recursion?
  231. Power of Two
Topic: Math, Bit Manipulation, Recursion
Difficulty: Easy
Problem:
Given an integer
n, return true if it is a power of two. Otherwise, return false.An integer
n is a power of two, if there exists an integer x such that n == 2^x.Example 1:
Input: n = 1
Output: true
Explanation: 2^0 = 1
Example 2:
Input: n = 16
Output: true
Explanation: 2^4 = 16
Example 3:
Input: n = 3
Output: false
Constraints:
•
-2^31 <= n <= 2^31 - 1Follow up: Could you solve it without loops/recursion?
2025-08-10
869. Reordered Power of 2
Topic: Hash Table, Math, Sorting, Counting, Enumeration
Difficulty: Medium
Problem:
You are given an integer
Return
Example 1:
Example 2:
Constraints:
•
  869. Reordered Power of 2
Topic: Hash Table, Math, Sorting, Counting, Enumeration
Difficulty: Medium
Problem:
You are given an integer
n. We reorder the digits in any order (including the original order) such that the leading digit is not zero.Return
true if and only if we can do this so that the resulting number is a power of two.Example 1:
Input: n = 1
Output: true
Example 2:
Input: n = 10
Output: false
Constraints:
•
1 <= n <= 10^92025-08-11
2438. Range Product Queries of Powers
Topic: Array, Bit Manipulation, Prefix Sum
Difficulty: Medium
Problem:
Given a positive integer
You are also given a 0-indexed 2D integer array
Return an array
Example 1:
Example 2:
Constraints:
•
•
•
  2438. Range Product Queries of Powers
Topic: Array, Bit Manipulation, Prefix Sum
Difficulty: Medium
Problem:
Given a positive integer
n, there exists a 0-indexed array called powers, composed of the minimum number of powers of 2 that sum to n. The array is sorted in non-decreasing order, and there is only one way to form the array.You are also given a 0-indexed 2D integer array
queries, where queries[i] = [left_i, right_i]. Each queries[i] represents a query where you have to find the product of all powers[j] with left_i <= j <= right_i.Return an array
answers, equal in length to queries, where answers[i] is the answer to the i^th query. Since the answer to the i^th query may be too large, each answers[i] should be returned modulo 10^9 + 7.Example 1:
Input: n = 15, queries = [[0,1],[2,2],[0,3]]
Output: [2,4,64]
Explanation:
For n = 15, powers = [1,2,4,8]. It can be shown that powers cannot be a smaller size.
Answer to 1st query: powers[0] * powers[1] = 1 * 2 = 2.
Answer to 2nd query: powers[2] = 4.
Answer to 3rd query: powers[0] * powers[1] * powers[2] * powers[3] = 1 * 2 * 4 * 8 = 64.
Each answer modulo 10^9 + 7 yields the same answer, so [2,4,64] is returned.
Example 2:
Input: n = 2, queries = [[0,0]]
Output: [2]
Explanation:
For n = 2, powers = [2].
The answer to the only query is powers[0] = 2. The answer modulo 10^9 + 7 is the same, so [2] is returned.
Constraints:
•
1 <= n <= 10^9•
1 <= queries.length <= 10^5•
0 <= start_i <= end_i < powers.length2025-08-12
2787. Ways to Express an Integer as Sum of Powers
Topic: Dynamic Programming
Difficulty: Medium
Problem:
Given two positive integers
Return the number of ways
Since the result can be very large, return it modulo
For example, if
Example 1:
Example 2:
Constraints:
•
•
  2787. Ways to Express an Integer as Sum of Powers
Topic: Dynamic Programming
Difficulty: Medium
Problem:
Given two positive integers
n and x.Return the number of ways
n can be expressed as the sum of the x^th power of unique positive integers, in other words, the number of sets of unique integers [n_1, n_2, ..., n_k] where n = n_1^x + n_2^x + ... + n_k^x.Since the result can be very large, return it modulo
10^9 + 7.For example, if
n = 160 and x = 3, one way to express n is n = 2^3 + 3^3 + 5^3.Example 1:
Input: n = 10, x = 2
Output: 1
Explanation: We can express n as the following: n = 3^2 + 1^2 = 10.
It can be shown that it is the only way to express 10 as the sum of the 2^nd power of unique integers.
Example 2:
Input: n = 4, x = 1
Output: 2
Explanation: We can express n in the following ways:
- n = 4^1 = 4.
- n = 3^1 + 1^1 = 4.
Constraints:
•
1 <= n <= 300•
1 <= x <= 52025-08-13
326. Power of Three
Topic: Math, Recursion
Difficulty: Easy
Problem:
Given an integer
An integer
Example 1:
Example 2:
Example 3:
Constraints:
•
Follow up: Could you solve it without loops/recursion?
  326. Power of Three
Topic: Math, Recursion
Difficulty: Easy
Problem:
Given an integer
n, return true if it is a power of three. Otherwise, return false.An integer
n is a power of three, if there exists an integer x such that n == 3^x.Example 1:
Input: n = 27
Output: true
Explanation: 27 = 3^3
Example 2:
Input: n = 0
Output: false
Explanation: There is no x where 3^x = 0.
Example 3:
Input: n = -1
Output: false
Explanation: There is no x where 3^x = (-1).
Constraints:
•
-2^31 <= n <= 2^31 - 1Follow up: Could you solve it without loops/recursion?
2025-08-14
2264. Largest 3-Same-Digit Number in String
Topic: String
Difficulty: Easy
Problem:
You are given a string
• It is a substring of
• It consists of only one unique digit.
Return the maximum good integer as a string or an empty string
Note:
• A substring is a contiguous sequence of characters within a string.
• There may be leading zeroes in
Example 1:
Example 2:
Example 3:
Constraints:
•
•
  2264. Largest 3-Same-Digit Number in String
Topic: String
Difficulty: Easy
Problem:
You are given a string
num representing a large integer. An integer is good if it meets the following conditions:• It is a substring of
num with length 3.• It consists of only one unique digit.
Return the maximum good integer as a string or an empty string
"" if no such integer exists.Note:
• A substring is a contiguous sequence of characters within a string.
• There may be leading zeroes in
num or a good integer.Example 1:
Input: num = "6777133339"
Output: "777"
Explanation: There are two distinct good integers: "777" and "333".
"777" is the largest, so we return "777".
Example 2:
Input: num = "2300019"
Output: "000"
Explanation: "000" is the only good integer.
Example 3:
Input: num = "42352338"
Output: ""
Explanation: No substring of length 3 consists of only one unique digit. Therefore, there are no good integers.
Constraints:
•
3 <= num.length <= 1000•
num only consists of digits.2025-08-15
342. Power of Four
Topic: Math, Bit Manipulation, Recursion
Difficulty: Easy
Problem:
Given an integer
An integer
Example 1:
Example 2:
Example 3:
Constraints:
•
Follow up: Could you solve it without loops/recursion?
  342. Power of Four
Topic: Math, Bit Manipulation, Recursion
Difficulty: Easy
Problem:
Given an integer
n, return true if it is a power of four. Otherwise, return false.An integer
n is a power of four, if there exists an integer x such that n == 4^x.Example 1:
Input: n = 16
Output: true
Example 2:
Input: n = 5
Output: false
Example 3:
Input: n = 1
Output: true
Constraints:
•
-2^31 <= n <= 2^31 - 1Follow up: Could you solve it without loops/recursion?
2025-08-16
1323. Maximum 69 Number
Topic: Math, Greedy
Difficulty: Easy
Problem:
You are given a positive integer
Return the maximum number you can get by changing at most one digit (
Example 1:
Example 2:
Example 3:
Constraints:
•
•
  1323. Maximum 69 Number
Topic: Math, Greedy
Difficulty: Easy
Problem:
You are given a positive integer
num consisting only of digits 6 and 9.Return the maximum number you can get by changing at most one digit (
6 becomes 9, and 9 becomes 6).Example 1:
Input: num = 9669
Output: 9969
Explanation:
Changing the first digit results in 6669.
Changing the second digit results in 9969.
Changing the third digit results in 9699.
Changing the fourth digit results in 9666.
The maximum number is 9969.
Example 2:
Input: num = 9996
Output: 9999
Explanation: Changing the last digit 6 to 9 results in the maximum number.
Example 3:
Input: num = 9999
Output: 9999
Explanation: It is better not to apply any change.
Constraints:
•
1 <= num <= 10^4•
num consists of only 6 and 9 digits.2025-08-17
837. New 21 Game
Topic: Math, Dynamic Programming, Sliding Window, Probability and Statistics
Difficulty: Medium
Problem:
Alice plays the following game, loosely based on the card game "21".
Alice starts with
Alice stops drawing numbers when she gets
Return the probability that Alice has
Answers within
Example 1:
Example 2:
Example 3:
Constraints:
•
•
  837. New 21 Game
Topic: Math, Dynamic Programming, Sliding Window, Probability and Statistics
Difficulty: Medium
Problem:
Alice plays the following game, loosely based on the card game "21".
Alice starts with
0 points and draws numbers while she has less than k points. During each draw, she gains an integer number of points randomly from the range [1, maxPts], where maxPts is an integer. Each draw is independent and the outcomes have equal probabilities.Alice stops drawing numbers when she gets
k or more points.Return the probability that Alice has
n or fewer points.Answers within
10^-5 of the actual answer are considered accepted.Example 1:
Input: n = 10, k = 1, maxPts = 10
Output: 1.00000
Explanation: Alice gets a single card, then stops.
Example 2:
Input: n = 6, k = 1, maxPts = 10
Output: 0.60000
Explanation: Alice gets a single card, then stops.
In 6 out of 10 possibilities, she is at or below 6 points.
Example 3:
Input: n = 21, k = 17, maxPts = 10
Output: 0.73278
Constraints:
•
0 <= k <= n <= 10^4•
1 <= maxPts <= 10^42025-08-18
679. 24 Game
Topic: Array, Math, Backtracking
Difficulty: Hard
Problem:
You are given an integer array
You are restricted with the following rules:
• The division operator
• For example,
• Every operation done is between two numbers. In particular, we cannot use
• For example, if
• You cannot concatenate numbers together
• For example, if
Return
Example 1:
Example 2:
Constraints:
•
•
  679. 24 Game
Topic: Array, Math, Backtracking
Difficulty: Hard
Problem:
You are given an integer array
cards of length 4. You have four cards, each containing a number in the range [1, 9]. You should arrange the numbers on these cards in a mathematical expression using the operators ['+', '-', '*', '/'] and the parentheses '(' and ')' to get the value 24.You are restricted with the following rules:
• The division operator
'/' represents real division, not integer division.• For example,
4 / (1 - 2 / 3) = 4 / (1 / 3) = 12.• Every operation done is between two numbers. In particular, we cannot use
'-' as a unary operator.• For example, if
cards = [1, 1, 1, 1], the expression "-1 - 1 - 1 - 1" is not allowed.• You cannot concatenate numbers together
• For example, if
cards = [1, 2, 1, 2], the expression "12 + 12" is not valid.Return
true if you can get such expression that evaluates to 24, and false otherwise.Example 1:
Input: cards = [4,1,8,7]
Output: true
Explanation: (8-4) * (7-1) = 24
Example 2:
Input: cards = [1,2,1,2]
Output: false
Constraints:
•
cards.length == 4•
1 <= cards[i] <= 92025-08-19
2348. Number of Zero-Filled Subarrays
Topic: Array, Math
Difficulty: Medium
Problem:
Given an integer array
A subarray is a contiguous non-empty sequence of elements within an array.
Example 1:
Example 2:
Example 3:
Constraints:
•
•
  2348. Number of Zero-Filled Subarrays
Topic: Array, Math
Difficulty: Medium
Problem:
Given an integer array
nums, return the number of subarrays filled with 0.A subarray is a contiguous non-empty sequence of elements within an array.
Example 1:
Input: nums = [1,3,0,0,2,0,0,4]
Output: 6
Explanation:
There are 4 occurrences of [0] as a subarray.
There are 2 occurrences of [0,0] as a subarray.
There is no occurrence of a subarray with a size more than 2 filled with 0. Therefore, we return 6.
Example 2:
Input: nums = [0,0,0,2,0,0]
Output: 9
Explanation:
There are 5 occurrences of [0] as a subarray.
There are 3 occurrences of [0,0] as a subarray.
There is 1 occurrence of [0,0,0] as a subarray.
There is no occurrence of a subarray with a size more than 3 filled with 0. Therefore, we return 9.
Example 3:
Input: nums = [2,10,2019]
Output: 0
Explanation: There is no subarray filled with 0. Therefore, we return 0.
Constraints:
•
1 <= nums.length <= 10^5•
-10^9 <= nums[i] <= 10^92025-08-20
1277. Count Square Submatrices with All Ones
Topic: Array, Dynamic Programming, Matrix
Difficulty: Medium
Problem:
Given a
Example 1:
Example 2:
Constraints:
•
•
•
  1277. Count Square Submatrices with All Ones
Topic: Array, Dynamic Programming, Matrix
Difficulty: Medium
Problem:
Given a
m * n matrix of ones and zeros, return how many square submatrices have all ones.Example 1:
Input: matrix =
[
[0,1,1,1],
[1,1,1,1],
[0,1,1,1]
]
Output: 15
Explanation:
There are 10 squares of side 1.
There are 4 squares of side 2.
There is 1 square of side 3.
Total number of squares = 10 + 4 + 1 = 15.
Example 2:
Input: matrix =
[
[1,0,1],
[1,1,0],
[1,1,0]
]
Output: 7
Explanation:
There are 6 squares of side 1.
There is 1 square of side 2.
Total number of squares = 6 + 1 = 7.
Constraints:
•
1 <= arr.length <= 300•
1 <= arr[0].length <= 300•
0 <= arr[i][j] <= 12025-08-21
1504. Count Submatrices With All Ones
Topic: Array, Dynamic Programming, Stack, Matrix, Monotonic Stack
Difficulty: Medium
Problem:
Given an
Example 1:
Image: https://assets.leetcode.com/uploads/2021/10/27/ones1-grid.jpg
Example 2:
Image: https://assets.leetcode.com/uploads/2021/10/27/ones2-grid.jpg
Constraints:
•
•
  1504. Count Submatrices With All Ones
Topic: Array, Dynamic Programming, Stack, Matrix, Monotonic Stack
Difficulty: Medium
Problem:
Given an
m x n binary matrix mat, return the number of submatrices that have all ones.Example 1:
Image: https://assets.leetcode.com/uploads/2021/10/27/ones1-grid.jpg
Input: mat = [[1,0,1],[1,1,0],[1,1,0]]
Output: 13
Explanation:
There are 6 rectangles of side 1x1.
There are 2 rectangles of side 1x2.
There are 3 rectangles of side 2x1.
There is 1 rectangle of side 2x2.
There is 1 rectangle of side 3x1.
Total number of rectangles = 6 + 2 + 3 + 1 + 1 = 13.
Example 2:
Image: https://assets.leetcode.com/uploads/2021/10/27/ones2-grid.jpg
Input: mat = [[0,1,1,0],[0,1,1,1],[1,1,1,0]]
Output: 24
Explanation:
There are 8 rectangles of side 1x1.
There are 5 rectangles of side 1x2.
There are 2 rectangles of side 1x3.
There are 4 rectangles of side 2x1.
There are 2 rectangles of side 2x2.
There are 2 rectangles of side 3x1.
There is 1 rectangle of side 3x2.
Total number of rectangles = 8 + 5 + 2 + 4 + 2 + 2 + 1 = 24.
Constraints:
•
1 <= m, n <= 150•
mat[i][j] is either 0 or 1.2025-08-22
3195. Find the Minimum Area to Cover All Ones I
Topic: Array, Matrix
Difficulty: Medium
Problem:
You are given a 2D binary array
Return the minimum possible area of the rectangle.
Example 1:
Input: grid = [0,1,0,1,0,1]
Output: 6
Explanation:
Image: https://assets.leetcode.com/uploads/2024/05/08/examplerect0.png
The smallest rectangle has a height of 2 and a width of 3, so it has an area of
Example 2:
Input: grid = [1,0,0,0]
Output: 1
Explanation:
Image: https://assets.leetcode.com/uploads/2024/05/08/examplerect1.png
The smallest rectangle has both height and width 1, so its area is
Constraints:
•
•
• The input is generated such that there is at least one 1 in
  3195. Find the Minimum Area to Cover All Ones I
Topic: Array, Matrix
Difficulty: Medium
Problem:
You are given a 2D binary array
grid. Find a rectangle with horizontal and vertical sides with the smallest area, such that all the 1's in grid lie inside this rectangle.Return the minimum possible area of the rectangle.
Example 1:
Input: grid = [0,1,0,1,0,1]
Output: 6
Explanation:
Image: https://assets.leetcode.com/uploads/2024/05/08/examplerect0.png
The smallest rectangle has a height of 2 and a width of 3, so it has an area of
2 * 3 = 6.Example 2:
Input: grid = [1,0,0,0]
Output: 1
Explanation:
Image: https://assets.leetcode.com/uploads/2024/05/08/examplerect1.png
The smallest rectangle has both height and width 1, so its area is
1 * 1 = 1.Constraints:
•
1 <= grid.length, grid[i].length <= 1000•
grid[i][j] is either 0 or 1.• The input is generated such that there is at least one 1 in
grid.2025-08-23
3197. Find the Minimum Area to Cover All Ones II
Topic: Array, Matrix, Enumeration
Difficulty: Hard
Problem:
You are given a 2D binary array
Return the minimum possible sum of the area of these rectangles.
Note that the rectangles are allowed to touch.
Example 1:
Input: grid = [1,0,1,1,1,1]
Output: 5
Explanation:
Image: https://assets.leetcode.com/uploads/2024/05/14/example0rect21.png
• The 1's at
• The 1's at
• The 1 at
Example 2:
Input: grid = [1,0,1,0,0,1,0,1]
Output: 5
Explanation:
Image: https://assets.leetcode.com/uploads/2024/05/14/example1rect2.png
• The 1's at
• The 1 at
• The 1 at
Constraints:
•
•
• The input is generated such that there are at least three 1's in
  3197. Find the Minimum Area to Cover All Ones II
Topic: Array, Matrix, Enumeration
Difficulty: Hard
Problem:
You are given a 2D binary array
grid. You need to find 3 non-overlapping rectangles having non-zero areas with horizontal and vertical sides such that all the 1's in grid lie inside these rectangles.Return the minimum possible sum of the area of these rectangles.
Note that the rectangles are allowed to touch.
Example 1:
Input: grid = [1,0,1,1,1,1]
Output: 5
Explanation:
Image: https://assets.leetcode.com/uploads/2024/05/14/example0rect21.png
• The 1's at
(0, 0) and (1, 0) are covered by a rectangle of area 2.• The 1's at
(0, 2) and (1, 2) are covered by a rectangle of area 2.• The 1 at
(1, 1) is covered by a rectangle of area 1.Example 2:
Input: grid = [1,0,1,0,0,1,0,1]
Output: 5
Explanation:
Image: https://assets.leetcode.com/uploads/2024/05/14/example1rect2.png
• The 1's at
(0, 0) and (0, 2) are covered by a rectangle of area 3.• The 1 at
(1, 1) is covered by a rectangle of area 1.• The 1 at
(1, 3) is covered by a rectangle of area 1.Constraints:
•
1 <= grid.length, grid[i].length <= 30•
grid[i][j] is either 0 or 1.• The input is generated such that there are at least three 1's in
grid.2025-08-24
1493. Longest Subarray of 1's After Deleting One Element
Topic: Array, Dynamic Programming, Sliding Window
Difficulty: Medium
Problem:
Given a binary array
Return the size of the longest non-empty subarray containing only
Example 1:
Example 2:
Example 3:
Constraints:
•
•
  1493. Longest Subarray of 1's After Deleting One Element
Topic: Array, Dynamic Programming, Sliding Window
Difficulty: Medium
Problem:
Given a binary array
nums, you should delete one element from it.Return the size of the longest non-empty subarray containing only
1's in the resulting array. Return 0 if there is no such subarray.Example 1:
Input: nums = [1,1,0,1]
Output: 3
Explanation: After deleting the number in position 2, [1,1,1] contains 3 numbers with value of 1's.
Example 2:
Input: nums = [0,1,1,1,0,1,1,0,1]
Output: 5
Explanation: After deleting the number in position 4, [0,1,1,1,1,1,0,1] longest subarray with value of 1's is [1,1,1,1,1].
Example 3:
Input: nums = [1,1,1]
Output: 2
Explanation: You must delete one element.
Constraints:
•
1 <= nums.length <= 10^5•
nums[i] is either 0 or 1.2025-08-25
498. Diagonal Traverse
Topic: Array, Matrix, Simulation
Difficulty: Medium
Problem:
Given an
Example 1:
Image: https://assets.leetcode.com/uploads/2021/04/10/diag1-grid.jpg
Example 2:
Constraints:
•
•
•
•
•
  498. Diagonal Traverse
Topic: Array, Matrix, Simulation
Difficulty: Medium
Problem:
Given an
m x n matrix mat, return an array of all the elements of the array in a diagonal order.Example 1:
Image: https://assets.leetcode.com/uploads/2021/04/10/diag1-grid.jpg
Input: mat = [[1,2,3],[4,5,6],[7,8,9]]
Output: [1,2,4,7,5,3,6,8,9]
Example 2:
Input: mat = [[1,2],[3,4]]
Output: [1,2,3,4]
Constraints:
•
m == mat.length•
n == mat[i].length•
1 <= m, n <= 10^4•
1 <= m * n <= 10^4•
-10^5 <= mat[i][j] <= 10^52025-08-26
3000. Maximum Area of Longest Diagonal Rectangle
Topic: Array
Difficulty: Easy
Problem:
You are given a 2D 0-indexed integer array
For all indices
Return the area of the rectangle having the longest diagonal. If there are multiple rectangles with the longest diagonal, return the area of the rectangle having the maximum area.
Example 1:
Example 2:
Constraints:
•
•
•
  3000. Maximum Area of Longest Diagonal Rectangle
Topic: Array
Difficulty: Easy
Problem:
You are given a 2D 0-indexed integer array
dimensions.For all indices
i, 0 <= i < dimensions.length, dimensions[i][0] represents the length and dimensions[i][1] represents the width of the rectangle i.Return the area of the rectangle having the longest diagonal. If there are multiple rectangles with the longest diagonal, return the area of the rectangle having the maximum area.
Example 1:
Input: dimensions = [[9,3],[8,6]]
Output: 48
Explanation:
For index = 0, length = 9 and width = 3. Diagonal length = sqrt(9 * 9 + 3 * 3) = sqrt(90) ≈ 9.487.
For index = 1, length = 8 and width = 6. Diagonal length = sqrt(8 * 8 + 6 * 6) = sqrt(100) = 10.
So, the rectangle at index 1 has a greater diagonal length therefore we return area = 8 * 6 = 48.
Example 2:
Input: dimensions = [[3,4],[4,3]]
Output: 12
Explanation: Length of diagonal is the same for both which is 5, so maximum area = 12.
Constraints:
•
1 <= dimensions.length <= 100•
dimensions[i].length == 2•
1 <= dimensions[i][0], dimensions[i][1] <= 100