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Posts tagged as “DFS”

花花酱 LeetCode 1319. Number of Operations to Make Network Connected

There are n computers numbered from 0 to n-1 connected by ethernet cables connections forming a network where connections[i] = [a, b] represents a connection between computers a and b. Any computer can reach any other computer directly or indirectly through the network.

Given an initial computer network connections. You can extract certain cables between two directly connected computers, and place them between any pair of disconnected computers to make them directly connected. Return the minimum number of times you need to do this in order to make all the computers connected. If it’s not possible, return -1. 

Example 1:

Input: n = 4, connections = [[0,1],[0,2],[1,2]]
Output: 1
Explanation: Remove cable between computer 1 and 2 and place between computers 1 and 3.

Example 2:

Input: n = 6, connections = [[0,1],[0,2],[0,3],[1,2],[1,3]]
Output: 2

Example 3:

Input: n = 6, connections = [[0,1],[0,2],[0,3],[1,2]]
Output: -1
Explanation: There are not enough cables.

Example 4:

Input: n = 5, connections = [[0,1],[0,2],[3,4],[2,3]]
Output: 0

Constraints:

  • 1 <= n <= 10^5
  • 1 <= connections.length <= min(n*(n-1)/2, 10^5)
  • connections[i].length == 2
  • 0 <= connections[i][0], connections[i][1] < n
  • connections[i][0] != connections[i][1]
  • There are no repeated connections.
  • No two computers are connected by more than one cable.

Solution 1: Union-Find

Time complexity: O(V+E)
Space complexity: O(V)

C++

Solution 2: DFS

Time complexity: O(V+E)
Space complexity: O(V+E)

C++

花花酱 LeetCode 1306. Jump Game III

Given an array of non-negative integers arr, you are initially positioned at start index of the array. When you are at index i, you can jump to i + arr[i] or i - arr[i], check if you can reach to any index with value 0.

Notice that you can not jump outside of the array at any time.

Example 1:

Input: arr = [4,2,3,0,3,1,2], start = 5
Output: true
Explanation: 
All possible ways to reach at index 3 with value 0 are: 
index 5 -> index 4 -> index 1 -> index 3 
index 5 -> index 6 -> index 4 -> index 1 -> index 3 

Example 2:

Input: arr = [4,2,3,0,3,1,2], start = 0
Output: true 
Explanation: 
One possible way to reach at index 3 with value 0 is: 
index 0 -> index 4 -> index 1 -> index 3

Example 3:

Input: arr = [3,0,2,1,2], start = 2
Output: false
Explanation: There is no way to reach at index 1 with value 0.

Constraints:

  • 1 <= arr.length <= 5 * 10^4
  • 0 <= arr[i] < arr.length
  • 0 <= start < arr.length

Solution: BFS / DFS

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

C++

花花酱 LeetCode 1263. Minimum Moves to Move a Box to Their Target Location

Storekeeper is a game in which the player pushes boxes around in a warehouse trying to get them to target locations.

The game is represented by a grid of size n*m, where each element is a wall, floor, or a box.

Your task is move the box 'B' to the target position 'T' under the following rules:

  • Player is represented by character 'S' and can move up, down, left, right in the grid if it is a floor (empy cell).
  • Floor is represented by character '.' that means free cell to walk.
  • Wall is represented by character '#' that means obstacle  (impossible to walk there). 
  • There is only one box 'B' and one target cell 'T' in the grid.
  • The box can be moved to an adjacent free cell by standing next to the box and then moving in the direction of the box. This is a push.
  • The player cannot walk through the box.

Return the minimum number of pushes to move the box to the target. If there is no way to reach the target, return -1.

Example 1:

Input: grid = [["#","#","#","#","#","#"],
               ["#","T","#","#","#","#"],
               ["#",".",".","B",".","#"],
               ["#",".","#","#",".","#"],
               ["#",".",".",".","S","#"],
               ["#","#","#","#","#","#"]]
Output: 3
Explanation: We return only the number of times the box is pushed.

Example 2:

Input: grid = [["#","#","#","#","#","#"],
               ["#","T","#","#","#","#"],
               ["#",".",".","B",".","#"],
               ["#","#","#","#",".","#"],
               ["#",".",".",".","S","#"],
               ["#","#","#","#","#","#"]]
Output: -1

Example 3:

Input: grid = [["#","#","#","#","#","#"],
               ["#","T",".",".","#","#"],
               ["#",".","#","B",".","#"],
               ["#",".",".",".",".","#"],
               ["#",".",".",".","S","#"],
               ["#","#","#","#","#","#"]]
Output: 5
Explanation:  push the box down, left, left, up and up.

Example 4:

Input: grid = [["#","#","#","#","#","#","#"],
               ["#","S","#",".","B","T","#"],
               ["#","#","#","#","#","#","#"]]
Output: -1

Constraints:

  • 1 <= grid.length <= 20
  • 1 <= grid[i].length <= 20
  • grid contains only characters '.''#',  'S' , 'T', or 'B'.
  • There is only one character 'S''B' and 'T' in the grid.

Solution: BFS + DFS

BFS to search by push steps to find miminal number of pushes. Each time we move from the previous position (initial position or last push position) to a new push position. Use DFS to check that whether that path exist or not.

C++

Solution: A* + BFS

g : history = # of pushes
h: heuristics = Manhattan distance from the current box position to the target position, always <= actual moves.
f = g + h

C++

花花酱 LeetCode 1254. Number of Closed Islands

Given a 2D grid consists of 0s (land) and 1s (water).  An island is a maximal 4-directionally connected group of 0s and a closed island is an island totally (all left, top, right, bottom) surrounded by 1s.

Return the number of closed islands.

Example 1:

Input: grid = [[1,1,1,1,1,1,1,0],[1,0,0,0,0,1,1,0],[1,0,1,0,1,1,1,0],[1,0,0,0,0,1,0,1],[1,1,1,1,1,1,1,0]]
Output: 2
Explanation: 
Islands in gray are closed because they are completely surrounded by water (group of 1s).

Example 2:

Input: grid = [[0,0,1,0,0],[0,1,0,1,0],[0,1,1,1,0]]
Output: 1

Example 3:

Input: grid = [[1,1,1,1,1,1,1],
               [1,0,0,0,0,0,1],
               [1,0,1,1,1,0,1],
               [1,0,1,0,1,0,1],
               [1,0,1,1,1,0,1],
               [1,0,0,0,0,0,1],
               [1,1,1,1,1,1,1]]
Output: 2

Constraints:

  • 1 <= grid.length, grid[0].length <= 100
  • 0 <= grid[i][j] <=1

Solution: DFS/Backtracking

For each connected component, if it can reach the boundary then it’s not a closed island.

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

C++

花花酱 LeetCode 1239. Maximum Length of a Concatenated String with Unique Characters

Given an array of strings arr. String s is a concatenation of a sub-sequence of arr which have unique characters.

Return the maximum possible length of s.

Example 1:

Input: arr = ["un","iq","ue"]
Output: 4
Explanation: All possible concatenations are "","un","iq","ue","uniq" and "ique".
Maximum length is 4.

Example 2:

Input: arr = ["cha","r","act","ers"]
Output: 6
Explanation: Possible solutions are "chaers" and "acters".

Example 3:

Input: arr = ["abcdefghijklmnopqrstuvwxyz"]
Output: 26

Constraints:

  • 1 <= arr.length <= 16
  • 1 <= arr[i].length <= 26
  • arr[i] contains only lower case English letters.

Solution: Combination + Bit

Time complexity: O(2^n)
Space complexity: O(n)

C++

Solution 2: DP

Time complexity: O(2^n)
Space complexity: O(2^n)

C++