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花花酱 LeetCode 2829. Determine the Minimum Sum of a k-avoiding Array

By zxi on August 26, 2023

You are given two integers, n and k.

An array of distinct positive integers is called a k-avoiding array if there does not exist any pair of distinct elements that sum to k.

Return the minimum possible sum of a k-avoiding array of length n.

Example 1:

Input: n = 5, k = 4
Output: 18
Explanation: Consider the k-avoiding array [1,2,4,5,6], which has a sum of 18.
It can be proven that there is no k-avoiding array with a sum less than 18.

Example 2:

Input: n = 2, k = 6
Output: 3
Explanation: We can construct the array [1,2], which has a sum of 3.
It can be proven that there is no k-avoiding array with a sum less than 3.

Constraints:

1 <= n, k <= 50

Solution 1: Greedy + HashTable

Always choose the smallest possible number starting from 1.

Add all chosen numbers into a hashtable. For a new candidate i, check whether k – i is already in the hashtable.

Time complexity: O(n)
Space complexity: O(n)

C++

// Author: Huahua

class Solution {

public:

int minimumSum(int n, int k) {

int sum = 0;

unordered_set<int> s;

for (int i = 1; s.size() != n; ++i) {

if (s.count(k - i)) continue;

sum += i;

s.insert(i);

}

return sum;

}

};

花花酱 LeetCode 2828. Check if a String Is an Acronym of Words

By zxi on August 26, 2023

Given an array of strings words and a string s, determine if s is an acronym of words.

The string s is considered an acronym of words if it can be formed by concatenating the first character of each string in words in order. For example, "ab" can be formed from ["apple", "banana"], but it can’t be formed from ["bear", "aardvark"].

Return true if s is an acronym of words, and false otherwise.

Example 1:

Input: words = ["alice","bob","charlie"], s = "abc"
Output: true
Explanation: The first character in the words "alice", "bob", and "charlie" are 'a', 'b', and 'c', respectively. Hence, s = "abc" is the acronym.

Example 2:

Input: words = ["an","apple"], s = "a"
Output: false
Explanation: The first character in the words "an" and "apple" are 'a' and 'a', respectively. 
The acronym formed by concatenating these characters is "aa". 
Hence, s = "a" is not the acronym.

Example 3:

Input: words = ["never","gonna","give","up","on","you"], s = "ngguoy"
Output: true
Explanation: By concatenating the first character of the words in the array, we get the string "ngguoy". 
Hence, s = "ngguoy" is the acronym.

Constraints:

1 <= words.length <= 100
1 <= words[i].length <= 10
1 <= s.length <= 100
words[i] and s consist of lowercase English letters.

Solution: Check the first letter of each word

No need to concatenate, just check the first letter of each word.

Time complexity: O(n)
Space complexity: O(1)

C++

// Author: Huahua

class Solution {

public:

bool isAcronym(vector<string>& words, string_view s) {

if (words.size() != s.size()) return false;

for (int i = 0; i < s.size(); ++i)

if (words[i][0] != s[i]) return false;

return true;

}

};

花花酱 LeetCode 2825. Make String a Subsequence Using Cyclic Increments

By zxi on August 23, 2023

You are given two 0-indexed strings str1 and str2.

In an operation, you select a set of indices in str1, and for each index i in the set, increment str1[i] to the next character cyclically. That is 'a' becomes 'b', 'b' becomes 'c', and so on, and 'z' becomes 'a'.

Return true if it is possible to make str2 a subsequence of str1 by performing the operation at most once, and false otherwise.

Note: A subsequence of a string is a new string that is formed from the original string by deleting some (possibly none) of the characters without disturbing the relative positions of the remaining characters.

Example 1:

Input: str1 = "abc", str2 = "ad"
Output: true
Explanation: Select index 2 in str1.
Increment str1[2] to become 'd'. 
Hence, str1 becomes "abd" and str2 is now a subsequence. Therefore, true is returned.

Example 2:

Input: str1 = "zc", str2 = "ad"
Output: true
Explanation: Select indices 0 and 1 in str1. 
Increment str1[0] to become 'a'. 
Increment str1[1] to become 'd'. 
Hence, str1 becomes "ad" and str2 is now a subsequence. Therefore, true is returned.

Example 3:

Input: str1 = "ab", str2 = "d"
Output: false
Explanation: In this example, it can be shown that it is impossible to make str2 a subsequence of str1 using the operation at most once. 
Therefore, false is returned.

Constraints:

1 <= str1.length <= 10⁵
1 <= str2.length <= 10⁵
str1 and str2 consist of only lowercase English letters.

Solution: Two pointers

s1[i] and s2[j] can match if
s1[i] == s2[j] or inc(s1[i]) == s2[j]

If matched: ++i; ++j else ++i.

Time complexity: O(n)
Space complexity: O(1)

C++

class Solution {

public:

bool canMakeSubsequence(string_view s1, string_view s2) {

for (int i = 0, j = 0, n = s1.size(), m = s2.size(); i < n; ++i)

if (s1[i] == s2[j] || (s1[i] - 'a' + 1) % 26 == s2[j] - 'a')

if (++j == m) return true;

return false;

}

};

Iterator version

C++

class Solution {

public:

bool canMakeSubsequence(string_view s1, string_view s2) {

for (auto i = begin(s1), j = begin(s2); i != end(s1); ++i)

if (*i == *j || (*i - 'a' + 1) % 26 == *j - 'a')

if (++j == end(s2)) return true;

return false;

}

};

花花酱 LeetCode 2824. Count Pairs Whose Sum is Less than Target

By zxi on August 23, 2023

Given a 0-indexed integer array nums of length n and an integer target, return the number of pairs(i, j)where0 <= i < j < nandnums[i] + nums[j] < target.

Example 1:

Input: nums = [-1,1,2,3,1], target = 2
Output: 3
Explanation: There are 3 pairs of indices that satisfy the conditions in the statement:
- (0, 1) since 0 < 1 and nums[0] + nums[1] = 0 < target
- (0, 2) since 0 < 2 and nums[0] + nums[2] = 1 < target 
- (0, 4) since 0 < 4 and nums[0] + nums[4] = 0 < target
Note that (0, 3) is not counted since nums[0] + nums[3] is not strictly less than the target.

Example 2:

Input: nums = [-6,2,5,-2,-7,-1,3], target = -2
Output: 10
Explanation: There are 10 pairs of indices that satisfy the conditions in the statement:
- (0, 1) since 0 < 1 and nums[0] + nums[1] = -4 < target
- (0, 3) since 0 < 3 and nums[0] + nums[3] = -8 < target
- (0, 4) since 0 < 4 and nums[0] + nums[4] = -13 < target
- (0, 5) since 0 < 5 and nums[0] + nums[5] = -7 < target
- (0, 6) since 0 < 6 and nums[0] + nums[6] = -3 < target
- (1, 4) since 1 < 4 and nums[1] + nums[4] = -5 < target
- (3, 4) since 3 < 4 and nums[3] + nums[4] = -9 < target
- (3, 5) since 3 < 5 and nums[3] + nums[5] = -3 < target
- (4, 5) since 4 < 5 and nums[4] + nums[5] = -8 < target
- (4, 6) since 4 < 6 and nums[4] + nums[6] = -4 < target

Constraints:

1 <= nums.length == n <= 50
-50 <= nums[i], target <= 50

Solution 1: Brute force

Enumerate all pairs.

Time complexity: O(n²)
Space complexity: O(1)

C++

// Author: Huahua

class Solution {

public:

int countPairs(vector<int>& nums, int target) {

const int n = nums.size();

int ans = 0;

for (int i = 0; i < n; ++i)

for (int j = i + 1; j < n; ++j)

ans += nums[i] + nums[j] < target;

return ans;

}

};

Solution 2: Two Pointers

Sort the numbers.

Use two pointers i, and j.
Set i to 0 and j to n – 1.
while (nums[i] + nums[j] >= target) –j
then we have nums[i] + nums[k] < target (i < k <= j), in total (j – i) pairs.
++i, move to the next starting number.
Time complexity: O(nlogn + n)
Space complexity: O(1)

C++

// Author: Huahua

class Solution {

public:

int countPairs(vector<int>& nums, int target) {

const int n = nums.size();

sort(begin(nums), end(nums));

int ans = 0;

for (int i = 0, j = n - 1; i < n; ++i) {

while (j >= i && nums[i] + nums[j] >= target) --j;

ans += max(0, j - i);

}

return ans;

}

};

花花酱 LeetCode 2815. Max Pair Sum in an Array

By zxi on August 13, 2023

You are given a 0-indexed integer array nums. You have to find the maximum sum of a pair of numbers from nums such that the maximum digit in both numbers are equal.

Return the maximum sum or -1 if no such pair exists.

Example 1:

Input: nums = [51,71,17,24,42]
Output: 88
Explanation: 
For i = 1 and j = 2, nums[i] and nums[j] have equal maximum digits with a pair sum of 71 + 17 = 88. 
For i = 3 and j = 4, nums[i] and nums[j] have equal maximum digits with a pair sum of 24 + 42 = 66.
It can be shown that there are no other pairs with equal maximum digits, so the answer is 88.

Example 2:

Input: nums = [1,2,3,4]
Output: -1
Explanation: No pair exists in nums with equal maximum digits.

Constraints:

2 <= nums.length <= 100
1 <= nums[i] <= 10⁴

Solution: Brute Force

Enumerate all pairs of nums and check their sum and max digit.

Time complexity: O(n²)
Space complexity: O(1)

C++

// Author: Huahua

class Solution {

public:

int maxSum(vector<int>& nums) {

auto maxDigit = [](int x) {

int ans = 0;

while (x) {

ans = max(ans, x % 10);

x /= 10;

}

return ans;

};

int ans = -1;

const int n = nums.size();

for (int i = 0; i < n; ++i)

for (int j = i + 1; j < n; ++j)

if (nums[i] + nums[j] > ans

&& maxDigit(nums[i]) == maxDigit(nums[j]))

ans = nums[i] + nums[j];

return ans;

}

};