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[vc_row css_animation="" row_type="row" use_row_as_full_screen_section="no" type="full_width" angled_section="no" text_align="left" background_image_as_pattern="without_pattern"][vc_column][vc_column_text] Given the root of a binary tree, return the inorder traversal of its nodes' values. Example 1: Input: root = [1,null,2,3] Output: [1,3,2] Example 2: Input: root = [] Output: [] Example 3: Input: root = [1] Output: [1] Constraints: The number of nodes in the tree is in the range [0, 100]. -100...

[vc_row css_animation="" row_type="row" use_row_as_full_screen_section="no" type="full_width" angled_section="no" text_align="left" background_image_as_pattern="without_pattern"][vc_column][vc_column_text] Given an integer array nums that may contain duplicates, return all possible subsets (the power set). The solution set must not contain duplicate subsets. Return the solution in any order. Example 1: Input: nums = [1,2,2] Output: [[],[1],[1,2],[1,2,2],[2],[2,2]] Example 2: Input: nums = [0] Output: [[],[0]] Constraints: 1 <= nums.length <= 10 -10 <= nums[i] <=...

[vc_row css_animation="" row_type="row" use_row_as_full_screen_section="no" type="full_width" angled_section="no" text_align="left" background_image_as_pattern="without_pattern"][vc_column][vc_column_text] Given the head of a linked list and a value x, partition it such that all nodes less than x come before nodes greater than or equal to x. You should preserve the original relative order of the nodes in each of the two partitions. Example 1: Input: head = [1,4,3,2,5,2], x...

[vc_row css_animation="" row_type="row" use_row_as_full_screen_section="no" type="full_width" angled_section="no" text_align="left" background_image_as_pattern="without_pattern"][vc_column][vc_column_text] Given the head of a sorted linked list, delete all nodes that have duplicate numbers, leaving only distinct numbers from the original list. Return the linked list sorted as well. Example 1: Input: head = [1,2,3,3,4,4,5] Output: [1,2,5] Example 2: Input: head = [1,1,1,2,3] Output: [2,3] Constraints: The number of nodes in...

[vc_row css_animation="" row_type="row" use_row_as_full_screen_section="no" type="full_width" angled_section="no" text_align="left" background_image_as_pattern="without_pattern"][vc_column][vc_column_text] There is an integer array nums sorted in non-decreasing order (not necessarily with distinct values). Before being passed to your function, nums is rotated at an unknown pivot index k (0 <= k < nums.length) such that the resulting array is [nums[k], nums[k+1], ...

[vc_row css_animation="" row_type="row" use_row_as_full_screen_section="no" type="full_width" angled_section="no" text_align="left" background_image_as_pattern="without_pattern"][vc_column][vc_column_text] Given an integer array nums sorted in non-decreasing order, remove some duplicates in-place such that each unique element appears at most twice. The relative order of the elements should be kept the same. Since it is impossible to change the length of the array in some languages, you...

[vc_row css_animation="" row_type="row" use_row_as_full_screen_section="no" type="full_width" angled_section="no" text_align="left" background_image_as_pattern="without_pattern"][vc_column][vc_column_text] Given an integer array nums of unique elements, return all possible subsets(the power set). The solution set must not contain duplicate subsets. Return the solution in any order. Example 1: Input: nums = [1,2,3] Output: [[],[1],[2],[1,2],[3],[1,3],[2,3],[1,2,3]] Example 2: Input: nums = [0] Output: [[],[0]] Constraints: 1 <= nums.length <= 10 -10 <= nums[i] <= 10 All the numbers...

[vc_row css_animation="" row_type="row" use_row_as_full_screen_section="no" type="full_width" angled_section="no" text_align="left" background_image_as_pattern="without_pattern"][vc_column][vc_column_text] Given an array nums with n objects colored red, white, or blue, sort them in-place so that objects of the same color are adjacent, with the colors in the order red, white, and blue. We will use the integers 0, 1, and 2 to represent the color red, white,...

[vc_row css_animation="" row_type="row" use_row_as_full_screen_section="no" type="full_width" angled_section="no" text_align="left" background_image_as_pattern="without_pattern"][vc_column][vc_column_text] Write an efficient algorithm that searches for a value target in an m x n integer matrix matrix. This matrix has the following properties:   Integers in each row are sorted from left to right. The first integer of each row is greater than the last...

[vc_row css_animation="" row_type="row" use_row_as_full_screen_section="no" type="full_width" angled_section="no" text_align="left" background_image_as_pattern="without_pattern"][vc_column][vc_column_text] Given an m x n integer matrix matrix, if an element is 0, set its entire row and column to 0's. You must do it in place. Example 1: Input: matrix = [[1,1,1],[1,0,1],[1,1,1]] Output: [[1,0,1],[0,0,0],[1,0,1]] Example 2: Input: matrix = [[0,1,2,0],[3,4,5,2],[1,3,1,5]] Output: [[0,0,0,0],[0,4,5,0],[0,3,1,0]] Constraints: m == matrix.length n == matrix[0].length 1 <= m, n <=...