2023-08-21
459. Repeated Substring Pattern
Topic: String, String Matching
Difficulty: Easy
Problem:
Given a string
Example 1:
Example 2:
Example 3:
Constraints:
•
•
459. Repeated Substring Pattern
Topic: String, String Matching
Difficulty: Easy
Problem:
Given a string
s, check if it can be constructed by taking a substring of it and appending multiple copies of the substring together.Example 1:
Input: s = "abab"
Output: true
Explanation: It is the substring "ab" twice.
Example 2:
Input: s = "aba"
Output: false
Example 3:
Input: s = "abcabcabcabc"
Output: true
Explanation: It is the substring "abc" four times or the substring "abcabc" twice.
Constraints:
•
1 <= s.length <= 10^4•
s consists of lowercase English letters.2023-08-22
168. Excel Sheet Column Title
Topic: Math, String
Difficulty: Easy
Problem:
Given an integer
For example:
Example 1:
Example 2:
Example 3:
Constraints:
•
168. Excel Sheet Column Title
Topic: Math, String
Difficulty: Easy
Problem:
Given an integer
columnNumber, return its corresponding column title as it appears in an Excel sheet.For example:
A -> 1
B -> 2
C -> 3
...
Z -> 26
AA -> 27
AB -> 28
...
Example 1:
Input: columnNumber = 1
Output: "A"
Example 2:
Input: columnNumber = 28
Output: "AB"
Example 3:
Input: columnNumber = 701
Output: "ZY"
Constraints:
•
1 <= columnNumber <= 2^31 - 12023-08-23
767. Reorganize String
Topic: Hash Table, String, Greedy, Sorting, Heap (Priority Queue), Counting
Difficulty: Medium
Problem:
Given a string
Return any possible rearrangement of
Example 1:
Example 2:
Constraints:
•
•
767. Reorganize String
Topic: Hash Table, String, Greedy, Sorting, Heap (Priority Queue), Counting
Difficulty: Medium
Problem:
Given a string
s, rearrange the characters of s so that any two adjacent characters are not the same.Return any possible rearrangement of
s or return "" if not possible.Example 1:
Input: s = "aab"
Output: "aba"
Example 2:
Input: s = "aaab"
Output: ""
Constraints:
•
1 <= s.length <= 500•
s consists of lowercase English letters.2023-08-24
68. Text Justification
Topic: Array, String, Simulation
Difficulty: Hard
Problem:
Given an array of strings
You should pack your words in a greedy approach; that is, pack as many words as you can in each line. Pad extra spaces
Extra spaces between words should be distributed as evenly as possible. If the number of spaces on a line does not divide evenly between words, the empty slots on the left will be assigned more spaces than the slots on the right.
For the last line of text, it should be left-justified, and no extra space is inserted between words.
Note:
• A word is defined as a character sequence consisting of non-space characters only.
• Each word's length is guaranteed to be greater than
• The input array
Example 1:
Example 2:
Example 3:
Constraints:
•
•
•
•
•
68. Text Justification
Topic: Array, String, Simulation
Difficulty: Hard
Problem:
Given an array of strings
words and a width maxWidth, format the text such that each line has exactly maxWidth characters and is fully (left and right) justified.You should pack your words in a greedy approach; that is, pack as many words as you can in each line. Pad extra spaces
' ' when necessary so that each line has exactly maxWidth characters.Extra spaces between words should be distributed as evenly as possible. If the number of spaces on a line does not divide evenly between words, the empty slots on the left will be assigned more spaces than the slots on the right.
For the last line of text, it should be left-justified, and no extra space is inserted between words.
Note:
• A word is defined as a character sequence consisting of non-space characters only.
• Each word's length is guaranteed to be greater than
0 and not exceed maxWidth.• The input array
words contains at least one word.Example 1:
Input: words = ["This", "is", "an", "example", "of", "text", "justification."], maxWidth = 16
Output:
[
"This is an",
"example of text",
"justification. "
]
Example 2:
Input: words = ["What","must","be","acknowledgment","shall","be"], maxWidth = 16
Output:
[
"What must be",
"acknowledgment ",
"shall be "
]
Explanation: Note that the last line is "shall be " instead of "shall be", because the last line must be left-justified instead of fully-justified.
Note that the second line is also left-justified because it contains only one word.
Example 3:
Input: words = ["Science","is","what","we","understand","well","enough","to","explain","to","a","computer.","Art","is","everything","else","we","do"], maxWidth = 20
Output:
[
"Science is what we",
"understand well",
"enough to explain to",
"a computer. Art is",
"everything else we",
"do "
]
Constraints:
•
1 <= words.length <= 300•
1 <= words[i].length <= 20•
words[i] consists of only English letters and symbols.•
1 <= maxWidth <= 100•
words[i].length <= maxWidth2023-08-25
97. Interleaving String
Topic: String, Dynamic Programming
Difficulty: Medium
Problem:
Given strings
An interleaving of two strings
•
•
•
• The interleaving is
Note:
Example 1:
Image: https://assets.leetcode.com/uploads/2020/09/02/interleave.jpg
Example 2:
Example 3:
Constraints:
•
•
•
Follow up: Could you solve it using only
97. Interleaving String
Topic: String, Dynamic Programming
Difficulty: Medium
Problem:
Given strings
s1, s2, and s3, find whether s3 is formed by an interleaving of s1 and s2.An interleaving of two strings
s and t is a configuration where s and t are divided into n and m substrings respectively, such that:•
s = s_1 + s_2 + ... + s_n•
t = t_1 + t_2 + ... + t_m•
|n - m| <= 1• The interleaving is
s_1 + t_1 + s_2 + t_2 + s_3 + t_3 + ... or t_1 + s_1 + t_2 + s_2 + t_3 + s_3 + ...Note:
a + b is the concatenation of strings a and b.Example 1:
Image: https://assets.leetcode.com/uploads/2020/09/02/interleave.jpg
Input: s1 = "aabcc", s2 = "dbbca", s3 = "aadbbcbcac"
Output: true
Explanation: One way to obtain s3 is:
Split s1 into s1 = "aa" + "bc" + "c", and s2 into s2 = "dbbc" + "a".
Interleaving the two splits, we get "aa" + "dbbc" + "bc" + "a" + "c" = "aadbbcbcac".
Since s3 can be obtained by interleaving s1 and s2, we return true.
Example 2:
Input: s1 = "aabcc", s2 = "dbbca", s3 = "aadbbbaccc"
Output: false
Explanation: Notice how it is impossible to interleave s2 with any other string to obtain s3.
Example 3:
Input: s1 = "", s2 = "", s3 = ""
Output: true
Constraints:
•
0 <= s1.length, s2.length <= 100•
0 <= s3.length <= 200•
s1, s2, and s3 consist of lowercase English letters.Follow up: Could you solve it using only
O(s2.length) additional memory space?2023-08-26
646. Maximum Length of Pair Chain
Topic: Array, Dynamic Programming, Greedy, Sorting
Difficulty: Medium
Problem:
You are given an array of
A pair
Return the length longest chain which can be formed.
You do not need to use up all the given intervals. You can select pairs in any order.
Example 1:
Example 2:
Constraints:
•
•
•
646. Maximum Length of Pair Chain
Topic: Array, Dynamic Programming, Greedy, Sorting
Difficulty: Medium
Problem:
You are given an array of
n pairs pairs where pairs[i] = [left_i, right_i] and left_i < right_i.A pair
p2 = [c, d] follows a pair p1 = [a, b] if b < c. A chain of pairs can be formed in this fashion.Return the length longest chain which can be formed.
You do not need to use up all the given intervals. You can select pairs in any order.
Example 1:
Input: pairs = [[1,2],[2,3],[3,4]]
Output: 2
Explanation: The longest chain is [1,2] -> [3,4].
Example 2:
Input: pairs = [[1,2],[7,8],[4,5]]
Output: 3
Explanation: The longest chain is [1,2] -> [4,5] -> [7,8].
Constraints:
•
n == pairs.length•
1 <= n <= 1000•
-1000 <= left_i < right_i <= 10002023-08-27
403. Frog Jump
Topic: Array, Dynamic Programming
Difficulty: Hard
Problem:
A frog is crossing a river. The river is divided into some number of units, and at each unit, there may or may not exist a stone. The frog can jump on a stone, but it must not jump into the water.
Given a list of
If the frog's last jump was
Example 1:
Example 2:
Constraints:
•
•
•
•
403. Frog Jump
Topic: Array, Dynamic Programming
Difficulty: Hard
Problem:
A frog is crossing a river. The river is divided into some number of units, and at each unit, there may or may not exist a stone. The frog can jump on a stone, but it must not jump into the water.
Given a list of
stones' positions (in units) in sorted ascending order, determine if the frog can cross the river by landing on the last stone. Initially, the frog is on the first stone and assumes the first jump must be 1 unit.If the frog's last jump was
k units, its next jump must be either k - 1, k, or k + 1 units. The frog can only jump in the forward direction.Example 1:
Input: stones = [0,1,3,5,6,8,12,17]
Output: true
Explanation: The frog can jump to the last stone by jumping 1 unit to the 2nd stone, then 2 units to the 3rd stone, then 2 units to the 4th stone, then 3 units to the 6th stone, 4 units to the 7th stone, and 5 units to the 8th stone.
Example 2:
Input: stones = [0,1,2,3,4,8,9,11]
Output: false
Explanation: There is no way to jump to the last stone as the gap between the 5th and 6th stone is too large.
Constraints:
•
2 <= stones.length <= 2000•
0 <= stones[i] <= 2^31 - 1•
stones[0] == 0•
stones is sorted in a strictly increasing order.2023-08-28
225. Implement Stack using Queues
Topic: Stack, Design, Queue
Difficulty: Easy
Problem:
Implement a last-in-first-out (LIFO) stack using only two queues. The implemented stack should support all the functions of a normal stack (
Implement the
•
•
•
•
Notes:
• You must use only standard operations of a queue, which means that only
• Depending on your language, the queue may not be supported natively. You may simulate a queue using a list or deque (double-ended queue) as long as you use only a queue's standard operations.
Example 1:
Constraints:
•
• At most
• All the calls to
Follow-up: Can you implement the stack using only one queue?
225. Implement Stack using Queues
Topic: Stack, Design, Queue
Difficulty: Easy
Problem:
Implement a last-in-first-out (LIFO) stack using only two queues. The implemented stack should support all the functions of a normal stack (
push, top, pop, and empty).Implement the
MyStack class:•
void push(int x) Pushes element x to the top of the stack.•
int pop() Removes the element on the top of the stack and returns it.•
int top() Returns the element on the top of the stack.•
boolean empty() Returns true if the stack is empty, false otherwise.Notes:
• You must use only standard operations of a queue, which means that only
push to back, peek/pop from front, size and is empty operations are valid.• Depending on your language, the queue may not be supported natively. You may simulate a queue using a list or deque (double-ended queue) as long as you use only a queue's standard operations.
Example 1:
Input
["MyStack", "push", "push", "top", "pop", "empty"]
[[], [1], [2], [], [], []]
Output
[null, null, null, 2, 2, false]
Explanation
MyStack myStack = new MyStack();
myStack.push(1);
myStack.push(2);
myStack.top(); // return 2
myStack.pop(); // return 2
myStack.empty(); // return False
Constraints:
•
1 <= x <= 9• At most
100 calls will be made to push, pop, top, and empty.• All the calls to
pop and top are valid.Follow-up: Can you implement the stack using only one queue?
2023-08-29
2483. Minimum Penalty for a Shop
Topic: String, Prefix Sum
Difficulty: Medium
Problem:
You are given the customer visit log of a shop represented by a 0-indexed string
• if the
• whereas
If the shop closes at the
• For every hour when the shop is open and no customers come, the penalty increases by
• For every hour when the shop is closed and customers come, the penalty increases by
Return the earliest hour at which the shop must be closed to incur a minimum penalty.
Note that if a shop closes at the
Example 1:
Example 2:
Example 3:
Constraints:
•
•
2483. Minimum Penalty for a Shop
Topic: String, Prefix Sum
Difficulty: Medium
Problem:
You are given the customer visit log of a shop represented by a 0-indexed string
customers consisting only of characters 'N' and 'Y':• if the
i^th character is 'Y', it means that customers come at the i^th hour• whereas
'N' indicates that no customers come at the i^th hour.If the shop closes at the
j^th hour (0 <= j <= n), the penalty is calculated as follows:• For every hour when the shop is open and no customers come, the penalty increases by
1.• For every hour when the shop is closed and customers come, the penalty increases by
1.Return the earliest hour at which the shop must be closed to incur a minimum penalty.
Note that if a shop closes at the
j^th hour, it means the shop is closed at the hour j.Example 1:
Input: customers = "YYNY"
Output: 2
Explanation:
- Closing the shop at the 0^th hour incurs in 1+1+0+1 = 3 penalty.
- Closing the shop at the 1^st hour incurs in 0+1+0+1 = 2 penalty.
- Closing the shop at the 2^nd hour incurs in 0+0+0+1 = 1 penalty.
- Closing the shop at the 3^rd hour incurs in 0+0+1+1 = 2 penalty.
- Closing the shop at the 4^th hour incurs in 0+0+1+0 = 1 penalty.
Closing the shop at 2^nd or 4^th hour gives a minimum penalty. Since 2 is earlier, the optimal closing time is 2.
Example 2:
Input: customers = "NNNNN"
Output: 0
Explanation: It is best to close the shop at the 0^th hour as no customers arrive.
Example 3:
Input: customers = "YYYY"
Output: 4
Explanation: It is best to close the shop at the 4^th hour as customers arrive at each hour.
Constraints:
•
1 <= customers.length <= 10^5•
customers consists only of characters 'Y' and 'N'.2023-08-30
2366. Minimum Replacements to Sort the Array
Topic: Array, Math, Greedy
Difficulty: Hard
Problem:
You are given a 0-indexed integer array
• For example, consider
Return the minimum number of operations to make an array that is sorted in non-decreasing order.
Example 1:
Example 2:
Constraints:
•
•
2366. Minimum Replacements to Sort the Array
Topic: Array, Math, Greedy
Difficulty: Hard
Problem:
You are given a 0-indexed integer array
nums. In one operation you can replace any element of the array with any two elements that sum to it.• For example, consider
nums = [5,6,7]. In one operation, we can replace nums[1] with 2 and 4 and convert nums to [5,2,4,7].Return the minimum number of operations to make an array that is sorted in non-decreasing order.
Example 1:
Input: nums = [3,9,3]
Output: 2
Explanation: Here are the steps to sort the array in non-decreasing order:
- From [3,9,3], replace the 9 with 3 and 6 so the array becomes [3,3,6,3]
- From [3,3,6,3], replace the 6 with 3 and 3 so the array becomes [3,3,3,3,3]
There are 2 steps to sort the array in non-decreasing order. Therefore, we return 2.
Example 2:
Input: nums = [1,2,3,4,5]
Output: 0
Explanation: The array is already in non-decreasing order. Therefore, we return 0.
Constraints:
•
1 <= nums.length <= 10^5•
1 <= nums[i] <= 10^92023-08-31
1326. Minimum Number of Taps to Open to Water a Garden
Topic: Array, Dynamic Programming, Greedy
Difficulty: Hard
Problem:
There is a one-dimensional garden on the x-axis. The garden starts at the point
There are
Given an integer
Return the minimum number of taps that should be open to water the whole garden, If the garden cannot be watered return -1.
Example 1:
Image: https://assets.leetcode.com/uploads/2020/01/16/1685_example_1.png
Example 2:
Constraints:
•
•
•
1326. Minimum Number of Taps to Open to Water a Garden
Topic: Array, Dynamic Programming, Greedy
Difficulty: Hard
Problem:
There is a one-dimensional garden on the x-axis. The garden starts at the point
0 and ends at the point n. (i.e The length of the garden is n).There are
n + 1 taps located at points [0, 1, ..., n] in the garden.Given an integer
n and an integer array ranges of length n + 1 where ranges[i] (0-indexed) means the i-th tap can water the area [i - ranges[i], i + ranges[i]] if it was open.Return the minimum number of taps that should be open to water the whole garden, If the garden cannot be watered return -1.
Example 1:
Image: https://assets.leetcode.com/uploads/2020/01/16/1685_example_1.png
Input: n = 5, ranges = [3,4,1,1,0,0]
Output: 1
Explanation: The tap at point 0 can cover the interval [-3,3]
The tap at point 1 can cover the interval [-3,5]
The tap at point 2 can cover the interval [1,3]
The tap at point 3 can cover the interval [2,4]
The tap at point 4 can cover the interval [4,4]
The tap at point 5 can cover the interval [5,5]
Opening Only the second tap will water the whole garden [0,5]
Example 2:
Input: n = 3, ranges = [0,0,0,0]
Output: -1
Explanation: Even if you activate all the four taps you cannot water the whole garden.
Constraints:
•
1 <= n <= 10^4•
ranges.length == n + 1•
0 <= ranges[i] <= 1002023-09-01
338. Counting Bits
Topic: Dynamic Programming, Bit Manipulation
Difficulty: Easy
Problem:
Given an integer
Example 1:
Example 2:
Constraints:
•
Follow up:
• It is very easy to come up with a solution with a runtime of
• Can you do it without using any built-in function (i.e., like
338. Counting Bits
Topic: Dynamic Programming, Bit Manipulation
Difficulty: Easy
Problem:
Given an integer
n, return an array ans of length n + 1 such that for each i (0 <= i <= n), ans[i] is the number of 1's in the binary representation of i.Example 1:
Input: n = 2
Output: [0,1,1]
Explanation:
0 --> 0
1 --> 1
2 --> 10
Example 2:
Input: n = 5
Output: [0,1,1,2,1,2]
Explanation:
0 --> 0
1 --> 1
2 --> 10
3 --> 11
4 --> 100
5 --> 101
Constraints:
•
0 <= n <= 10^5Follow up:
• It is very easy to come up with a solution with a runtime of
O(n log n). Can you do it in linear time O(n) and possibly in a single pass?• Can you do it without using any built-in function (i.e., like
__builtin_popcount in C++)?2023-09-02
2707. Extra Characters in a String
Topic: Array, Hash Table, String, Dynamic Programming, Trie
Difficulty: Medium
Problem:
You are given a 0-indexed string
Return the minimum number of extra characters left over if you break up
Example 1:
Example 2:
Constraints:
•
•
•
•
•
2707. Extra Characters in a String
Topic: Array, Hash Table, String, Dynamic Programming, Trie
Difficulty: Medium
Problem:
You are given a 0-indexed string
s and a dictionary of words dictionary. You have to break s into one or more non-overlapping substrings such that each substring is present in dictionary. There may be some extra characters in s which are not present in any of the substrings.Return the minimum number of extra characters left over if you break up
s optimally.Example 1:
Input: s = "leetscode", dictionary = ["leet","code","leetcode"]
Output: 1
Explanation: We can break s in two substrings: "leet" from index 0 to 3 and "code" from index 5 to 8. There is only 1 unused character (at index 4), so we return 1.
Example 2:
Input: s = "sayhelloworld", dictionary = ["hello","world"]
Output: 3
Explanation: We can break s in two substrings: "hello" from index 3 to 7 and "world" from index 8 to 12. The characters at indices 0, 1, 2 are not used in any substring and thus are considered as extra characters. Hence, we return 3.
Constraints:
•
1 <= s.length <= 50•
1 <= dictionary.length <= 50•
1 <= dictionary[i].length <= 50•
dictionary[i] and s consists of only lowercase English letters•
dictionary contains distinct words2023-09-03
62. Unique Paths
Topic: Math, Dynamic Programming, Combinatorics
Difficulty: Medium
Problem:
There is a robot on an
Given the two integers
The test cases are generated so that the answer will be less than or equal to
Example 1:
Image: https://assets.leetcode.com/uploads/2018/10/22/robot_maze.png
Example 2:
Constraints:
•
62. Unique Paths
Topic: Math, Dynamic Programming, Combinatorics
Difficulty: Medium
Problem:
There is a robot on an
m x n grid. The robot is initially located at the top-left corner (i.e., grid[0][0]). The robot tries to move to the bottom-right corner (i.e., grid[m - 1][n - 1]). The robot can only move either down or right at any point in time.Given the two integers
m and n, return the number of possible unique paths that the robot can take to reach the bottom-right corner.The test cases are generated so that the answer will be less than or equal to
2 * 10^9.Example 1:
Image: https://assets.leetcode.com/uploads/2018/10/22/robot_maze.png
Input: m = 3, n = 7
Output: 28
Example 2:
Input: m = 3, n = 2
Output: 3
Explanation: From the top-left corner, there are a total of 3 ways to reach the bottom-right corner:
1. Right -> Down -> Down
2. Down -> Down -> Right
3. Down -> Right -> Down
Constraints:
•
1 <= m, n <= 1002023-09-04
141. Linked List Cycle
Topic: Hash Table, Linked List, Two Pointers
Difficulty: Easy
Problem:
Given
There is a cycle in a linked list if there is some node in the list that can be reached again by continuously following the
Return
Example 1:
Image: https://assets.leetcode.com/uploads/2018/12/07/circularlinkedlist.png
Example 2:
Image: https://assets.leetcode.com/uploads/2018/12/07/circularlinkedlist_test2.png
Example 3:
Image: https://assets.leetcode.com/uploads/2018/12/07/circularlinkedlist_test3.png
Constraints:
• The number of the nodes in the list is in the range
•
•
Follow up: Can you solve it using
141. Linked List Cycle
Topic: Hash Table, Linked List, Two Pointers
Difficulty: Easy
Problem:
Given
head, the head of a linked list, determine if the linked list has a cycle in it.There is a cycle in a linked list if there is some node in the list that can be reached again by continuously following the
next pointer. Internally, pos is used to denote the index of the node that tail's next pointer is connected to. Note that pos is not passed as a parameter.Return
true if there is a cycle in the linked list. Otherwise, return false.Example 1:
Image: https://assets.leetcode.com/uploads/2018/12/07/circularlinkedlist.png
Input: head = [3,2,0,-4], pos = 1
Output: true
Explanation: There is a cycle in the linked list, where the tail connects to the 1st node (0-indexed).
Example 2:
Image: https://assets.leetcode.com/uploads/2018/12/07/circularlinkedlist_test2.png
Input: head = [1,2], pos = 0
Output: true
Explanation: There is a cycle in the linked list, where the tail connects to the 0th node.
Example 3:
Image: https://assets.leetcode.com/uploads/2018/12/07/circularlinkedlist_test3.png
Input: head = [1], pos = -1
Output: false
Explanation: There is no cycle in the linked list.
Constraints:
• The number of the nodes in the list is in the range
[0, 10^4].•
-10^5 <= Node.val <= 10^5•
pos is -1 or a valid index in the linked-list.Follow up: Can you solve it using
O(1) (i.e. constant) memory?2023-09-05
138. Copy List with Random Pointer
Topic: Hash Table, Linked List
Difficulty: Medium
Problem:
A linked list of length
Construct a deep copy of the list. The deep copy should consist of exactly
For example, if there are two nodes
Return the head of the copied linked list.
The linked list is represented in the input/output as a list of
•
•
Your code will only be given the
Example 1:
Image: https://assets.leetcode.com/uploads/2019/12/18/e1.png
Example 2:
Image: https://assets.leetcode.com/uploads/2019/12/18/e2.png
Example 3:
Image: https://assets.leetcode.com/uploads/2019/12/18/e3.png
Constraints:
•
•
•
138. Copy List with Random Pointer
Topic: Hash Table, Linked List
Difficulty: Medium
Problem:
A linked list of length
n is given such that each node contains an additional random pointer, which could point to any node in the list, or null.Construct a deep copy of the list. The deep copy should consist of exactly
n brand new nodes, where each new node has its value set to the value of its corresponding original node. Both the next and random pointer of the new nodes should point to new nodes in the copied list such that the pointers in the original list and copied list represent the same list state. None of the pointers in the new list should point to nodes in the original list.For example, if there are two nodes
X and Y in the original list, where X.random --> Y, then for the corresponding two nodes x and y in the copied list, x.random --> y.Return the head of the copied linked list.
The linked list is represented in the input/output as a list of
n nodes. Each node is represented as a pair of [val, random_index] where:•
val: an integer representing Node.val•
random_index: the index of the node (range from 0 to n-1) that the random pointer points to, or null if it does not point to any node.Your code will only be given the
head of the original linked list.Example 1:
Image: https://assets.leetcode.com/uploads/2019/12/18/e1.png
Input: head = [[7,null],[13,0],[11,4],[10,2],[1,0]]
Output: [[7,null],[13,0],[11,4],[10,2],[1,0]]
Example 2:
Image: https://assets.leetcode.com/uploads/2019/12/18/e2.png
Input: head = [[1,1],[2,1]]
Output: [[1,1],[2,1]]
Example 3:
Image: https://assets.leetcode.com/uploads/2019/12/18/e3.png
Input: head = [[3,null],[3,0],[3,null]]
Output: [[3,null],[3,0],[3,null]]
Constraints:
•
0 <= n <= 1000•
-10^4 <= Node.val <= 10^4•
Node.random is null or is pointing to some node in the linked list.2023-09-06
725. Split Linked List in Parts
Topic: Linked List
Difficulty: Medium
Problem:
Given the
The length of each part should be as equal as possible: no two parts should have a size differing by more than one. This may lead to some parts being null.
The parts should be in the order of occurrence in the input list, and parts occurring earlier should always have a size greater than or equal to parts occurring later.
Return an array of the
Example 1:
Image: https://assets.leetcode.com/uploads/2021/06/13/split1-lc.jpg
Example 2:
Image: https://assets.leetcode.com/uploads/2021/06/13/split2-lc.jpg
Constraints:
• The number of nodes in the list is in the range
•
•
725. Split Linked List in Parts
Topic: Linked List
Difficulty: Medium
Problem:
Given the
head of a singly linked list and an integer k, split the linked list into k consecutive linked list parts.The length of each part should be as equal as possible: no two parts should have a size differing by more than one. This may lead to some parts being null.
The parts should be in the order of occurrence in the input list, and parts occurring earlier should always have a size greater than or equal to parts occurring later.
Return an array of the
k parts.Example 1:
Image: https://assets.leetcode.com/uploads/2021/06/13/split1-lc.jpg
Input: head = [1,2,3], k = 5
Output: [[1],[2],[3],[],[]]
Explanation:
The first element output[0] has output[0].val = 1, output[0].next = null.
The last element output[4] is null, but its string representation as a ListNode is [].
Example 2:
Image: https://assets.leetcode.com/uploads/2021/06/13/split2-lc.jpg
Input: head = [1,2,3,4,5,6,7,8,9,10], k = 3
Output: [[1,2,3,4],[5,6,7],[8,9,10]]
Explanation:
The input has been split into consecutive parts with size difference at most 1, and earlier parts are a larger size than the later parts.
Constraints:
• The number of nodes in the list is in the range
[0, 1000].•
0 <= Node.val <= 1000•
1 <= k <= 502023-09-07
92. Reverse Linked List II
Topic: Linked List
Difficulty: Medium
Problem:
Given the
Example 1:
Image: https://assets.leetcode.com/uploads/2021/02/19/rev2ex2.jpg
Example 2:
Constraints:
• The number of nodes in the list is
•
•
•
Follow up: Could you do it in one pass?
92. Reverse Linked List II
Topic: Linked List
Difficulty: Medium
Problem:
Given the
head of a singly linked list and two integers left and right where left <= right, reverse the nodes of the list from position left to position right, and return the reversed list.Example 1:
Image: https://assets.leetcode.com/uploads/2021/02/19/rev2ex2.jpg
Input: head = [1,2,3,4,5], left = 2, right = 4
Output: [1,4,3,2,5]
Example 2:
Input: head = [5], left = 1, right = 1
Output: [5]
Constraints:
• The number of nodes in the list is
n.•
1 <= n <= 500•
-500 <= Node.val <= 500•
1 <= left <= right <= nFollow up: Could you do it in one pass?
2023-09-08
118. Pascal's Triangle
Topic: Array, Dynamic Programming
Difficulty: Easy
Problem:
Given an integer
In Pascal's triangle, each number is the sum of the two numbers directly above it as shown:
Image: https://upload.wikimedia.org/wikipedia/commons/0/0d/PascalTriangleAnimated2.gif
Example 1:
Example 2:
Constraints:
•
118. Pascal's Triangle
Topic: Array, Dynamic Programming
Difficulty: Easy
Problem:
Given an integer
numRows, return the first numRows of Pascal's triangle.In Pascal's triangle, each number is the sum of the two numbers directly above it as shown:
Image: https://upload.wikimedia.org/wikipedia/commons/0/0d/PascalTriangleAnimated2.gif
Example 1:
Input: numRows = 5
Output: [[1],[1,1],[1,2,1],[1,3,3,1],[1,4,6,4,1]]
Example 2:
Input: numRows = 1
Output: [[1]]
Constraints:
•
1 <= numRows <= 302023-09-09
377. Combination Sum IV
Topic: Array, Dynamic Programming
Difficulty: Medium
Problem:
Given an array of distinct integers
The test cases are generated so that the answer can fit in a 32-bit integer.
Example 1:
Example 2:
Constraints:
•
•
• All the elements of
•
Follow up: What if negative numbers are allowed in the given array? How does it change the problem? What limitation we need to add to the question to allow negative numbers?
377. Combination Sum IV
Topic: Array, Dynamic Programming
Difficulty: Medium
Problem:
Given an array of distinct integers
nums and a target integer target, return the number of possible combinations that add up to target.The test cases are generated so that the answer can fit in a 32-bit integer.
Example 1:
Input: nums = [1,2,3], target = 4
Output: 7
Explanation:
The possible combination ways are:
(1, 1, 1, 1)
(1, 1, 2)
(1, 2, 1)
(1, 3)
(2, 1, 1)
(2, 2)
(3, 1)
Note that different sequences are counted as different combinations.
Example 2:
Input: nums = [9], target = 3
Output: 0
Constraints:
•
1 <= nums.length <= 200•
1 <= nums[i] <= 1000• All the elements of
nums are unique.•
1 <= target <= 1000Follow up: What if negative numbers are allowed in the given array? How does it change the problem? What limitation we need to add to the question to allow negative numbers?