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// #Easy #Top_100_Liked_Questions #Top_Interview_Questions #Array #Hash_Table | ||
// #Data_Structure_I_Day_2_Array #Level_1_Day_13_Hashmap #Udemy_Arrays #Big_O_Time_O(n)_Space_O(n) | ||
// #AI_can_be_used_to_solve_the_task #2024_10_16_Time_2_ms_(99.56%)_Space_8.6_MB_(40.96%) | ||
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/** | ||
* Note: The returned array must be malloced, assume caller calls free(). | ||
*/ | ||
int* twoSum(int* nums, int numsSize, int target, int* returnSize) { | ||
returnSize[0] = 2; | ||
int* output = (int*)malloc(sizeof(int) * 2); | ||
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for (int offset = 1; offset < numsSize; offset++) { | ||
int i = 0; | ||
while (i + offset < numsSize) { | ||
if (nums[i] + nums[i + offset] == target) { | ||
output[0] = i; | ||
output[1] = i + offset; | ||
return output; | ||
} | ||
i++; | ||
} | ||
} | ||
return (void*)0; | ||
} |
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1\. Two Sum | ||
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Easy | ||
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Given an array of integers `nums` and an integer `target`, return _indices of the two numbers such that they add up to `target`_. | ||
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You may assume that each input would have **_exactly_ one solution**, and you may not use the _same_ element twice. | ||
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You can return the answer in any order. | ||
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**Example 1:** | ||
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**Input:** nums = [2,7,11,15], target = 9 | ||
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**Output:** [0,1] | ||
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**Output:** Because nums[0] + nums[1] == 9, we return [0, 1]. | ||
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**Example 2:** | ||
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**Input:** nums = [3,2,4], target = 6 | ||
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**Output:** [1,2] | ||
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**Example 3:** | ||
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**Input:** nums = [3,3], target = 6 | ||
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**Output:** [0,1] | ||
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**Constraints:** | ||
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* <code>2 <= nums.length <= 10<sup>4</sup></code> | ||
* <code>-10<sup>9</sup> <= nums[i] <= 10<sup>9</sup></code> | ||
* <code>-10<sup>9</sup> <= target <= 10<sup>9</sup></code> | ||
* **Only one valid answer exists.** | ||
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**Follow-up:** Can you come up with an algorithm that is less than <code>O(n<sup>2</sup>) </code>time complexity? |
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// #Medium #Top_100_Liked_Questions #Top_Interview_Questions #Math #Linked_List #Recursion | ||
// #Data_Structure_II_Day_10_Linked_List #Programming_Skills_II_Day_15 | ||
// #Big_O_Time_O(max(N,M))_Space_O(max(N,M)) #AI_can_be_used_to_solve_the_task | ||
// #2024_10_16_Time_12_ms_(70.50%)_Space_12.6_MB_(56.73%) | ||
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/** | ||
* Definition for singly-linked list. | ||
* struct ListNode { | ||
* int val; | ||
* struct ListNode *next; | ||
* }; | ||
*/ | ||
// Function to create a new ListNode | ||
struct ListNode* createNode(int val) { | ||
struct ListNode* newNode = (struct ListNode*)malloc(sizeof(struct ListNode)); | ||
newNode->val = val; | ||
newNode->next = NULL; | ||
return newNode; | ||
} | ||
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struct ListNode* addTwoNumbers(struct ListNode* l1, struct ListNode* l2) { | ||
struct ListNode dummyHead; | ||
dummyHead.val = 0; | ||
dummyHead.next = NULL; | ||
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struct ListNode* p = l1; | ||
struct ListNode* q = l2; | ||
struct ListNode* curr = &dummyHead; | ||
int carry = 0; | ||
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while (p != NULL || q != NULL) { | ||
int x = (p != NULL) ? p->val : 0; | ||
int y = (q != NULL) ? q->val : 0; | ||
int sum = carry + x + y; | ||
carry = sum / 10; | ||
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curr->next = createNode(sum % 10); | ||
curr = curr->next; | ||
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if (p != NULL) { | ||
p = p->next; | ||
} | ||
if (q != NULL) { | ||
q = q->next; | ||
} | ||
} | ||
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if (carry > 0) { | ||
curr->next = createNode(carry); | ||
} | ||
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return dummyHead.next; | ||
} |
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2\. Add Two Numbers | ||
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Medium | ||
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You are given two **non-empty** linked lists representing two non-negative integers. The digits are stored in **reverse order**, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list. | ||
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You may assume the two numbers do not contain any leading zero, except the number 0 itself. | ||
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**Example 1:** | ||
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![](https://assets.leetcode.com/uploads/2020/10/02/addtwonumber1.jpg) | ||
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**Input:** l1 = [2,4,3], l2 = [5,6,4] | ||
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**Output:** [7,0,8] | ||
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**Explanation:** 342 + 465 = 807. | ||
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**Example 2:** | ||
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**Input:** l1 = [0], l2 = [0] | ||
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**Output:** [0] | ||
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**Example 3:** | ||
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**Input:** l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9] | ||
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**Output:** [8,9,9,9,0,0,0,1] | ||
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**Constraints:** | ||
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* The number of nodes in each linked list is in the range `[1, 100]`. | ||
* `0 <= Node.val <= 9` | ||
* It is guaranteed that the list represents a number that does not have leading zeros. |
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src/main/c/g0001_0100/s0003_longest_substring_without_repeating_characters/Solution.c
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// #Medium #Top_100_Liked_Questions #Top_Interview_Questions #String #Hash_Table #Sliding_Window | ||
// #Algorithm_I_Day_6_Sliding_Window #Level_2_Day_14_Sliding_Window/Two_Pointer #Udemy_Strings | ||
// #Big_O_Time_O(n)_Space_O(1) #2024_10_20_Time_15_ms_(29.93%)_Space_9.7_MB_(47.88%) | ||
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#include <stdio.h> | ||
#include <string.h> | ||
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int lengthOfLongestSubstring(const char* s) { | ||
int lastIndices[256]; | ||
for (int i = 0; i < 256; i++) { | ||
lastIndices[i] = -1; | ||
} | ||
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int maxLen = 0; | ||
int curLen = 0; | ||
int start = 0; | ||
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for (int i = 0; i < strlen(s); i++) { | ||
char cur = s[i]; | ||
if (lastIndices[(unsigned char)cur] < start) { | ||
lastIndices[(unsigned char)cur] = i; | ||
curLen++; | ||
} else { | ||
int lastIndex = lastIndices[(unsigned char)cur]; | ||
start = lastIndex + 1; | ||
curLen = i - start + 1; | ||
lastIndices[(unsigned char)cur] = i; | ||
} | ||
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if (curLen > maxLen) { | ||
maxLen = curLen; | ||
} | ||
} | ||
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return maxLen; | ||
} |
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...ain/c/g0001_0100/s0003_longest_substring_without_repeating_characters/readme.md
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3\. Longest Substring Without Repeating Characters | ||
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Medium | ||
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Given a string `s`, find the length of the **longest substring** without repeating characters. | ||
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**Example 1:** | ||
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**Input:** s = "abcabcbb" | ||
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**Output:** 3 | ||
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**Explanation:** The answer is "abc", with the length of 3. | ||
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**Example 2:** | ||
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**Input:** s = "bbbbb" | ||
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**Output:** 1 | ||
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**Explanation:** The answer is "b", with the length of 1. | ||
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**Example 3:** | ||
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**Input:** s = "pwwkew" | ||
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**Output:** 3 | ||
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**Explanation:** The answer is "wke", with the length of 3. Notice that the answer must be a substring, "pwke" is a subsequence and not a substring. | ||
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**Example 4:** | ||
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**Input:** s = "" | ||
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**Output:** 0 | ||
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**Constraints:** | ||
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* <code>0 <= s.length <= 5 * 10<sup>4</sup></code> | ||
* `s` consists of English letters, digits, symbols and spaces. |
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src/main/c/g0001_0100/s0004_median_of_two_sorted_arrays/Solution.c
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// #Hard #Top_100_Liked_Questions #Top_Interview_Questions #Array #Binary_Search #Divide_and_Conquer | ||
// #Big_O_Time_O(log(min(N,M)))_Space_O(1) #2024_10_20_Time_0_ms_(100.00%)_Space_11.1_MB_(60.94%) | ||
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#include <stdio.h> | ||
#include <limits.h> | ||
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double findMedianSortedArrays(int* nums1, int n1, int* nums2, int n2) { | ||
if (n1 > n2) { | ||
return findMedianSortedArrays(nums2, n2, nums1, n1); | ||
} | ||
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int low = 0, high = n1; | ||
while (low <= high) { | ||
int cut1 = (low + high) / 2; | ||
int cut2 = (n1 + n2 + 1) / 2 - cut1; | ||
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int l1 = (cut1 == 0) ? INT_MIN : nums1[cut1 - 1]; | ||
int l2 = (cut2 == 0) ? INT_MIN : nums2[cut2 - 1]; | ||
int r1 = (cut1 == n1) ? INT_MAX : nums1[cut1]; | ||
int r2 = (cut2 == n2) ? INT_MAX : nums2[cut2]; | ||
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if (l1 <= r2 && l2 <= r1) { | ||
if ((n1 + n2) % 2 == 0) { | ||
return (double)(fmax(l1, l2) + fmin(r1, r2)) / 2.0; | ||
} else { | ||
return (double)fmax(l1, l2); | ||
} | ||
} else if (l1 > r2) { | ||
high = cut1 - 1; | ||
} else { | ||
low = cut1 + 1; | ||
} | ||
} | ||
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return 0.0; | ||
} |
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src/main/c/g0001_0100/s0004_median_of_two_sorted_arrays/readme.md
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4\. Median of Two Sorted Arrays | ||
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Hard | ||
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Given two sorted arrays `nums1` and `nums2` of size `m` and `n` respectively, return **the median** of the two sorted arrays. | ||
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The overall run time complexity should be `O(log (m+n))`. | ||
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**Example 1:** | ||
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**Input:** nums1 = [1,3], nums2 = [2] | ||
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**Output:** 2.00000 | ||
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**Explanation:** merged array = [1,2,3] and median is 2. | ||
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**Example 2:** | ||
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**Input:** nums1 = [1,2], nums2 = [3,4] | ||
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**Output:** 2.50000 | ||
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**Explanation:** merged array = [1,2,3,4] and median is (2 + 3) / 2 = 2.5. | ||
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**Example 3:** | ||
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**Input:** nums1 = [0,0], nums2 = [0,0] | ||
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**Output:** 0.00000 | ||
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**Example 4:** | ||
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**Input:** nums1 = [], nums2 = [1] | ||
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**Output:** 1.00000 | ||
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**Example 5:** | ||
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**Input:** nums1 = [2], nums2 = [] | ||
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**Output:** 2.00000 | ||
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**Constraints:** | ||
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* `nums1.length == m` | ||
* `nums2.length == n` | ||
* `0 <= m <= 1000` | ||
* `0 <= n <= 1000` | ||
* `1 <= m + n <= 2000` | ||
* <code>-10<sup>6</sup> <= nums1[i], nums2[i] <= 10<sup>6</sup></code> |
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