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花花酱 LeetCode 119. Pascal’s Triangle II

Given an integer rowIndex, return the rowIndexth (0-indexed) row of the Pascal’s triangle.

In Pascal’s triangle, each number is the sum of the two numbers directly above it as shown:

Example 1:

Input: rowIndex = 3
Output: [1,3,3,1]

Example 2:

Input: rowIndex = 0
Output: [1]

Example 3:

Input: rowIndex = 1
Output: [1,1]

Constraints:

  • 0 <= rowIndex <= 33

Follow up: Could you optimize your algorithm to use only O(rowIndex) extra space?

Solution: Remember last row

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

C++

Related Problems

花花酱 LeetCode 118. Pascal’s Triangle

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:

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 <= 30

Solution: Simulation

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

C++

Related Problems

花花酱 LeetCode 114. Flatten Binary Tree to Linked List

Given the root of a binary tree, flatten the tree into a “linked list”:

  • The “linked list” should use the same TreeNode class where the right child pointer points to the next node in the list and the left child pointer is always null.
  • The “linked list” should be in the same order as a pre-order traversal of the binary tree.

Example 1:

Input: root = [1,2,5,3,4,null,6]
Output: [1,null,2,null,3,null,4,null,5,null,6]

Example 2:

Input: root = []
Output: []

Example 3:

Input: root = [0]
Output: [0]

Constraints:

  • The number of nodes in the tree is in the range [0, 2000].
  • -100 <= Node.val <= 100

Follow up: Can you flatten the tree in-place (with O(1) extra space)?

Solution 1: Recursion

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

Python3

Solution 2: Unfolding

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

Python3

花花酱 LeetCode 109. Convert Sorted List to Binary Search Tree

Given the head of a singly linked list where elements are sorted in ascending order, convert it to a height balanced BST.

For this problem, a height-balanced binary tree is defined as a binary tree in which the depth of the two subtrees of every node never differ by more than 1.

Example 1:

Input: head = [-10,-3,0,5,9]
Output: [0,-3,9,-10,null,5]
Explanation: One possible answer is [0,-3,9,-10,null,5], which represents the shown height balanced BST.

Example 2:

Input: head = []
Output: []

Example 3:

Input: head = [0]
Output: [0]

Example 4:

Input: head = [1,3]
Output: [3,1]

Constraints:

  • The number of nodes in head is in the range [0, 2 * 104].
  • -105 <= Node.val <= 105

Solution 1: Recursion w/ Fast + Slow Pointers

For each sublist, use fast/slow pointers to find the mid and build the tree.

Time complexity: O(nlogn)
Space complexity: O(logn)

C++

花花酱 LeetCode 2088. Count Fertile Pyramids in a Land

A farmer has a rectangular grid of land with m rows and n columns that can be divided into unit cells. Each cell is either fertile (represented by a 1) or barren (represented by a 0). All cells outside the grid are considered barren.

pyramidal plot of land can be defined as a set of cells with the following criteria:

  1. The number of cells in the set has to be greater than 1 and all cells must be fertile.
  2. The apex of a pyramid is the topmost cell of the pyramid. The height of a pyramid is the number of rows it covers. Let (r, c) be the apex of the pyramid, and its height be h. Then, the plot comprises of cells (i, j) where r <= i <= r + h - 1 and c - (i - r) <= j <= c + (i - r).

An inverse pyramidal plot of land can be defined as a set of cells with similar criteria:

  1. The number of cells in the set has to be greater than 1 and all cells must be fertile.
  2. The apex of an inverse pyramid is the bottommost cell of the inverse pyramid. The height of an inverse pyramid is the number of rows it covers. Let (r, c) be the apex of the pyramid, and its height be h. Then, the plot comprises of cells (i, j) where r - h + 1 <= i <= r and c - (r - i) <= j <= c + (r - i).

Some examples of valid and invalid pyramidal (and inverse pyramidal) plots are shown below. Black cells indicate fertile cells.

Given a 0-indexed m x n binary matrix grid representing the farmland, return the total number of pyramidal and inverse pyramidal plots that can be found in grid.

Example 1:

Input: grid = [[0,1,1,0],[1,1,1,1]]
Output: 2
Explanation:
The 2 possible pyramidal plots are shown in blue and red respectively.
There are no inverse pyramidal plots in this grid. 
Hence total number of pyramidal and inverse pyramidal plots is 2 + 0 = 2.

Example 2:

Input: grid = [[1,1,1],[1,1,1]]
Output: 2
Explanation:
The pyramidal plot is shown in blue, and the inverse pyramidal plot is shown in red. 
Hence the total number of plots is 1 + 1 = 2.

Example 3:

Input: grid = [[1,0,1],[0,0,0],[1,0,1]]
Output: 0
Explanation:
There are no pyramidal or inverse pyramidal plots in the grid.

Example 4:

Input: grid = [[1,1,1,1,0],[1,1,1,1,1],[1,1,1,1,1],[0,1,0,0,1]]
Output: 13
Explanation:
There are 7 pyramidal plots, 3 of which are shown in the 2nd and 3rd figures.
There are 6 inverse pyramidal plots, 2 of which are shown in the last figure.
The total number of plots is 7 + 6 = 13.

Constraints:

  • m == grid.length
  • n == grid[i].length
  • 1 <= m, n <= 1000
  • 1 <= m * n <= 105
  • grid[i][j] is either 0 or 1.

Solution: DP

Let dp[i][j] be the height+1 of a Pyramid tops at i, j
dp[i][j] = min(dp[i+d][j – 1], dp[i + d][j + 1]) + 1 if dp[i-1][j] else grid[i][j]

Time complexity: O(mn)
Space complexity: O(mn)

Python