Island Perimeter
LeetCode: Island Perimeter
Problem:
You are given a map in form of a two-dimensional integer grid where 1 represents land and 0 represents water.
Grid cells are connected horizontally/vertically (not diagonally).
The grid is completely surrounded by water, and there is exactly one island (i.e., one or more connected land cells).
The island doesn't have "lakes" (water inside that isn't connected to the water around the island).
One cell is a square with side length 1.
The grid is rectangular, width and height don't exceed 100.
Determine the perimeter of the island.
- Examples:
[[0,1,0,0],
[1,1,1,0],
[0,1,0,0],
[1,1,0,0]]
Answer: 16
Explanation: The perimeter is the 16 yellow stripes in the image below:
- Analysis:
1: island, 0: water
All grids are connected horizontally/vertically.
There is exactly one island.
The perimeter count for a grid is following:
1. on the board.
2. surrounded by water.
- Code - Java:
class Solution {
public int islandPerimeter(int[][] grid) {
int count = 0;
int row = grid.length;
int col = grid[0].length;
for (int i = 0; i < row; i++) {
for (int j = 0; j < col; j++) {
if (grid[i][j] == 1) {
if (i - 1 < 0 || grid[i - 1][j] == 0) {
count++;
}
if (i + 1 >= row || grid[i + 1][j] == 0) {
count++;
}
if (j - 1 < 0 || grid[i][j - 1] == 0) {
count++;
}
if (j + 1 >= col || grid[i][j + 1] == 0) {
count++;
}
}
}
}
return count;
}
}
- Code - C++:
class Solution {
public:
int islandPerimeter(vector<vector<int>>& grid) {
int count = 0;
int row = grid.size();
int col = grid[0].size();
for (int i = 0; i < row; i++) {
for (int j = 0; j < col; j++) {
if (grid[i][j] == 1) {
if (i - 1 < 0 || grid[i - 1][j] == 0) {
count++;
}
if (i + 1 >= row || grid[i + 1][j] == 0) {
count++;
}
if (j - 1 < 0 || grid[i][j - 1] == 0) {
count++;
}
if (j + 1 >= col || grid[i][j + 1] == 0) {
count++;
}
}
}
}
return count;
}
};
- Code - Python:
class Solution(object):
def islandPerimeter(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
count = 0
row = len(grid)
col = len(grid[0])
for i in range(row):
for j in range(col):
if grid[i][j] == 1:
if i - 1 < 0 or grid[i - 1][j] == 0:
count += 1
if i + 1 >= row or grid[i + 1][j] == 0:
count += 1
if j - 1 < 0 or grid[i][j - 1] == 0:
count += 1
if j + 1 >= col or grid[i][j + 1] == 0:
count += 1
return count
Time Complexity: O(MN), M is the number of row, N is the number of column
Space Complexity: O(1)