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Original file line number | Diff line number | Diff line change |
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--- | ||
id: 3000 | ||
title: Maximum area of longest diagonal rectangle (Leetcode) | ||
sidebar_label: 3000-Maximum area of longest diagonal rectangle | ||
description: Solution of Maximum area of longest diagonal rectangle | ||
--- | ||
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## Problem Description | ||
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| Problem Statement | Solution Link | LeetCode Profile | | ||
| :---------------------------------------------------------------------------------------------------------------------------------- | :------------ | :--------------- | | ||
| [Maximum area of longest diagonal rectangle](https://leetcode.com/problems/maximum-area-of-longest-diagonal-rectangle/description/) | | ||
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## Problem Description | ||
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You are given a 2D 0-indexed integer array dimensions. | ||
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For all indices i, 0 <= i < dimensions.length, dimensions[i][0] represents the length and dimensions[i][1] represents the width of the rectangle i. | ||
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Return the area of the rectangle having the longest diagonal. If there are multiple rectangles with the longest diagonal, return the area of the rectangle having the maximum area. | ||
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### Examples | ||
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#### Example 1 | ||
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- **Input:** $dimensions = [[9,3],[8,6]]$ | ||
- **Output:** $48$ | ||
- **Explanation:** $For index = 0, length = 9 and width = 3. Diagonal length = sqrt(9 * 9 + 3 * 3) = sqrt(90) ≈ 9.487. | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. replace $For index = 0, length = 9 and width = 3. Diagonal length = sqrt(9 * 9 + 3 * 3) = sqrt(90) ≈ 9.487.
For index = 1, length = 8 and width = 6. Diagonal length = sqrt(8 * 8 + 6 * 6) = sqrt(100) = 10.
So, the rectangle at index 1 has a greater diagonal length therefore we return area = 8 * 6 = 48..$ to For index = $0$, $\text{length} = 9$ and width = $3$. $\text{Diagonal length} = sqrt(9 \times 9 + 3 \times 3) = sqrt(90) ≈ 9.487$.
For $\text{index} = 1$, $length = 8$ and $\text{width} = 6$. $\text{Diagonal length} = sqrt(8 \times 8 + 6 \times 6) = sqrt(100) = 10$.
So, the rectangle at index 1 has a greater diagonal length therefore we return $area = 8 \times 6 = 48..$ |
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For index = 1, length = 8 and width = 6. Diagonal length = sqrt(8 * 8 + 6 * 6) = sqrt(100) = 10. | ||
So, the rectangle at index 1 has a greater diagonal length therefore we return area = 8 * 6 = 48..$ | ||
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#### Example 2 | ||
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- **Input:** $dimensions = [[3,4],[4,3]]$ | ||
- **Output:** $12$ | ||
- **Explanation:**$ Length of diagonal is the same for both which is 5, so maximum area = 12$. | ||
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### Constraints | ||
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- $1 <= dimensions.length <= 100$ | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. replace |
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- $dimensions[i].length == 2$ | ||
- $1 <= dimensions[i][0], dimensions[i][1] <= 100$ | ||
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### Intuition | ||
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The problem requires finding the rectangle with the maximum diagonal length and, in case of a tie, returning the one with the maximum area. | ||
To achieve this, we need to calculate the diagonal length for each rectangle and compare it with the current maximum diagonal length. | ||
If the diagonal length is greater or equal (in case of a tie), we update the maximum diagonal length and check if the area of the current rectangle is greater than the maximum area. If so, we update the maximum area as well. | ||
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### Approach | ||
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The code uses a loop to iterate through each rectangle in the given dimensions vector. | ||
It calculates the square of the diagonal length for each rectangle and compares it with the previous maximum diagonal length (diag). | ||
If the current rectangle has a longer or equal diagonal length, it updates the maximum area (area) accordingly. | ||
The area variable keeps track of the maximum area among rectangles with the longest diagonal. | ||
Finally, the function returns the maximum area among rectangles with the longest diagonal. | ||
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### Solution Code | ||
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#### Python | ||
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```py | ||
class Solution: | ||
def areaOfMaxDiagonal(self, dimensions: List[List[int]]) -> int: | ||
a,b = max(dimensions, key = lambda x: (x[0]*x[0]+x[1]*x[1], (x[0]*x[1]))) | ||
return a*b | ||
``` | ||
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#### Java | ||
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```java | ||
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public int areaOfMaxDiagonal(int[][] dimensions) { | ||
int diagSq = 0, area = 0; | ||
for (int[] d : dimensions) { | ||
int ds = d[0] * d[0] + d[1] * d[1]; | ||
int ar = d[0] * d[1]; | ||
if (ds > diagSq) { | ||
area = ar; | ||
diagSq = ds; | ||
} | ||
else if (ds == diagSq && ar > area) area = ar; | ||
} | ||
return area; | ||
} | ||
``` | ||
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#### C++ | ||
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```cpp | ||
class Solution { | ||
public: | ||
int areaOfMaxDiagonal(vector<vector<int>>& dimensions) { | ||
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double max_diagonal = 0; | ||
int max_area = 0; | ||
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for (const auto& rectangle : dimensions) { | ||
int length = rectangle[0]; | ||
int width = rectangle[1]; | ||
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double diagonal_length = sqrt(pow(length, 2) + pow(width, 2)); | ||
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if (diagonal_length > max_diagonal || (diagonal_length == max_diagonal && length * width > max_area)) { | ||
max_diagonal = diagonal_length; | ||
max_area = length * width; | ||
} | ||
} | ||
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return max_area; | ||
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} | ||
}; | ||
``` | ||
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### Conclusion | ||
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At last we can say that we can calculate maximum area of diagonal rectangle using timecomplexity of o(n) and spacecomplexity of o(1) using a simple for loop and some variable | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. replace |
Original file line number | Diff line number | Diff line change |
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--- | ||
id: Minimum Moves to Capture The Queen | ||
title: Minimum Moves to Capture The Queen | ||
sidebar_label: 3001 - Minimum Moves to Capture The Queen | ||
tags: | ||
- Array | ||
description: "This is a solution to the Minimum Moves to Capture The Queen problem on LeetCode." | ||
--- | ||
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## Problem Description | ||
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There is a 1-indexed 8 x 8 chessboard containing 3 pieces. | ||
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You are given 6 integers a, b, c, d, e, and f where: | ||
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(a, b) denotes the position of the white rook. | ||
(c, d) denotes the position of the white bishop. | ||
(e, f) denotes the position of the black queen. | ||
Given that you can only move the white pieces, return the minimum number of moves required to capture the black queen. | ||
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Note that: | ||
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Rooks can move any number of squares either vertically or horizontally, but cannot jump over other pieces. | ||
Bishops can move any number of squares diagonally, but cannot jump over other pieces. | ||
A rook or a bishop can capture the queen if it is located in a square that they can move to. | ||
The queen does not move. | ||
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### Examples | ||
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**Example 1:** | ||
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``` | ||
Input: a = 1, b = 1, c = 8, d = 8, e = 2, f = 3 | ||
Output: 2 | ||
Explanation: We can capture the black queen in two moves by moving the white rook to (1, 3) then to (2, 3). | ||
It is impossible to capture the black queen in less than two moves since it is not being attacked by any of the pieces at the beginning. | ||
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``` | ||
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**Example 2:** | ||
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``` | ||
Input: a = 5, b = 3, c = 3, d = 4, e = 5, f = 2 | ||
Output: 1 | ||
Explanation: We can capture the black queen in a single move by doing one of the following: | ||
- Move the white rook to (5, 2). | ||
- Move the white bishop to (5, 2). | ||
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``` | ||
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### Constraints | ||
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- `1 <= a, b, c, d, e, f <= 8` | ||
- `No two pieces are on the same square.` | ||
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## Solution for Minimum Moves to Capture The Queen Problem | ||
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### Intuition | ||
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Same Row or Column: | ||
If the queen is in the same row (a == e) or the same column (b == f), it means it can be captured in one move. | ||
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Same Diagonal: | ||
If the absolute difference between the columns (abs(c - e)) is equal to the absolute difference between the rows (abs(d - f)), it means the queen is on the same diagonal and can be captured in one move. | ||
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Otherwise: | ||
If none of the above conditions are met, it implies that the queen cannot be captured in one move. | ||
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Pieces in Between | ||
For suppose a rook is standing in the way of bishop and vice-versa the min no of moves is two , to check whether the piece in between i have used the manhattan distance. | ||
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### Approach | ||
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Check for Same Row, Column, or Diagonal: | ||
If the queen is in the same row, column, or diagonal as the starting point, calculate the Manhattan distance. | ||
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Check for Obstacles: | ||
While calculating the Manhattan distance, inspect the squares between the starting point and the queen's position. | ||
If any square along the path contains another piece, consider it an obstacle. | ||
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Minimum Moves Calculation: | ||
Assess the minimum number of moves based on the presence of obstacles. | ||
If no obstacles are present, it's likely a direct capture in one move. | ||
If obstacles are encountered, it might require at least two moves to maneuver around them. | ||
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Handle Piece-Specific Scenarios: | ||
Adjust the approach based on the specific pieces involved. | ||
For a rook, obstacles in the same row or column are significant. | ||
For a bishop, obstacles along diagonals need consideration. | ||
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Return Minimum Moves: | ||
Return the calculated minimum number of moves. | ||
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### Solution Code | ||
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#### Python | ||
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```py | ||
class Solution: | ||
def minMovesToCaptureTheQueen(self, a: int, b: int, c: int, d: int, e: int, f: int) -> int: | ||
# rock and queen in the same row or col | ||
if a == e: # same row | ||
if a == c and (d - b) * (d - f) < 0: # bishop on the same row and between rock and queen | ||
return 2 | ||
else: | ||
return 1 | ||
elif b == f: # same col | ||
if b == d and (c - a) * (c - e) < 0: | ||
return 2 | ||
else: | ||
return 1 | ||
# bishop and queen in the same diagonal | ||
elif c - e == d - f: # \ diagonal | ||
if a - e == b - f and (a - c) * (a - e) < 0: | ||
return 2 | ||
else: | ||
return 1 | ||
elif c - e == f - d: # / diagonal | ||
if a - e == f - b and (a - c) * (a - e) < 0: | ||
return 2 | ||
else: | ||
return 1 | ||
return 2 | ||
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``` | ||
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#### Java | ||
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```java | ||
=public int minMovesToCaptureTheQueen(int a, int b, int c, int d, int e, int f) { | ||
// ----- Rook ----- | ||
if(a==e){ | ||
if(a==c && ((b<d && d<f) || (f<d && d<b))) { | ||
return 2; | ||
}else return 1; | ||
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}else if(b==f) { | ||
if(b==d && ((a<c && c<e) || (e<c && c<a))){ | ||
return 2; | ||
}else return 1; | ||
} | ||
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// ----- Bishop ----- | ||
// flag -> true means rook is between bishop and queen - so we need to move rook | ||
boolean flag = false; | ||
for(int i=c, j=d; i>0&&j>0; i--, j--){ | ||
if(i==a && j==b) flag = true; | ||
else if(i==e && j==f) { | ||
if(flag) return 2; | ||
else return 1; | ||
} | ||
} | ||
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flag =false; | ||
for(int i=c, j=d; i>0&&j<9; i--, j++){ | ||
if(i==a && j==b) flag = true; | ||
else if(i==e && j==f) { | ||
if(flag) return 2; | ||
else return 1; | ||
} | ||
} | ||
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flag = false; | ||
for(int i=c, j=d; i<9&&j<9; i++, j++){ | ||
if(i==a && j==b) flag = true; | ||
else if(i==e && j==f) { | ||
if(flag) return 2; | ||
else return 1; | ||
} | ||
} | ||
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flag = false; | ||
for(int i=c, j=d; i<9&&j>0; i++, j--){ | ||
if(i==a && j==b) flag = true; | ||
else if(i==e && j==f) { | ||
if(flag) return 2; | ||
else return 1; | ||
} | ||
} | ||
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// for every condition Rook can capture the queen in 2 steps | ||
return 2; | ||
} | ||
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``` | ||
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#### C++ | ||
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```cpp | ||
class Solution { | ||
public: | ||
int minMovesToCaptureTheQueen(int a, int b, int c, int d, int e, int f) { | ||
if(a == e){ | ||
if(c == e){ | ||
int d0 = abs(b-f) ; | ||
int d1 = abs(b-d) ; | ||
int d2 = abs(d-f); | ||
if(d0 == d1+d2) | ||
return 2; | ||
else | ||
return 1; | ||
} | ||
else | ||
return 1; | ||
} | ||
else if(b == f){ | ||
if(d == f){ | ||
int d0 = abs(a-e) ; | ||
int d1 = abs(a-c); | ||
int d2 = abs(c-e) ; | ||
if(d0 == d1+d2) | ||
return 2; | ||
else | ||
return 1; | ||
} | ||
else | ||
return 1; | ||
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} | ||
else if(abs(c-e) == abs(d - f)){ | ||
if(abs(a-c) == abs(b-d)) { | ||
int d0 = abs(c-e) + abs(d-f); | ||
int d1 = abs(a-c) + abs(b-d); | ||
int d2 = abs(e-a) + abs(f-b); | ||
if(d0 == d1+d2) | ||
return 2; | ||
else | ||
return 1; | ||
} | ||
else | ||
return 1; | ||
} | ||
else | ||
return 2; | ||
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} | ||
}; | ||
``` | ||
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### Conclusion | ||
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THis code efficectively calculates the minimum number of moves using constant space and constant time | ||
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- **LeetCode Problem**: [Minimum Moves to Capture The Queen](https://leetcode.com/problems/minimum-moves-to-capture-the-queen/description/) | ||
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- **Solution Link**: [LeetCode Solution](https://leetcode.com/problems/minimum-moves-to-capture-the-queen/solutions/4577719/beats-100-time-complexity-o-1) |
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