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1465. Maximum Area of a Piece of Cake After Horizontal and Vertical Cuts

LeetCode article · C++ solution
Website made by wuisabel-gif · Original C++ code by keineahnung2345
greedyC++Markdown
146

I like to read this solution as a small machine: keep the useful information, throw away the noise. For 1465. Maximum Area of a Piece of Cake After Horizontal and Vertical Cuts, the solution in this repository is mainly a greedy solution.

Guide

What?

The first job is to translate the English prompt into state, transition, and stopping conditions. Instead of trying to be clever immediately, read the code as a sequence of questions:

  • What state are we keeping?
  • How do we move from one state to the next?
  • When do we know the answer is already determined?

For this file, the main tools are: greedy.

Guide

When?

This pattern shows up when the brute force version has too many repeated checks, too many possible branches, or too much bookkeeping to do by hand. The accepted code reduces that pressure by storing exactly the information that remains useful later.

The important function names to track are moduloMultiplication, maxArea.

Guide

Why?

The code is doing bookkeeping so your brain does not have to keep the entire search space open at once.

  • Sorting is used to make local choices comparable, so the later scan does not have to rediscover order.
  • The final return is not magic; it is the invariant after the loops or recursion have finished doing their accounting.

Guide

How?

Walk through the solution in this order:

  1. Initialize the memory or helper structure.
  2. Process candidates in the order the invariant expects.
  3. Update the answer only when the current state is valid.
  4. Return the value that represents the fully processed input.

The most important competitive-programming habit here is to trust the invariant. Once the invariant is right, the loops become much less scary.

Guide

Complexity

  • Time: O(n) to O(n log n), depending on the dominant loop or data structure operation
  • Space: O(n) in the usual case for auxiliary containers or recursion

Guide

C++ Solution

Your submission

The accepted solution

solution.cpp
01//Runtime: 204 ms, faster than 82.11% of C++ online submissions for Maximum Area of a Piece of Cake After Horizontal and Vertical Cuts.
02//Memory Usage: 32.3 MB, less than 100.00% of C++ online submissions for Maximum Area of a Piece of Cake After Horizontal and Vertical Cuts.
03class Solution {
04public:
05    long long moduloMultiplication(long long a, 
06                            long long b, 
07                            long long mod) 
08    { 
09        long long res = 0; // Initialize result 
10
11        // Update a if it is more than 
12        // or equal to mod 
13        a %= mod; 
14
15        while (b) 
16        { 
17            // If b is odd, add a with result 
18            if (b & 1) 
19                res = (res + a) % mod; 
20
21            // Here we assume that doing 2*a 
22            // doesn't cause overflow 
23            a = (2 * a) % mod; 
24
25            b >>= 1; // b = b / 2 
26        } 
27
28        return res; 
29    } 
30
31    int maxArea(int h, int w, vector<int>& horizontalCuts, vector<int>& verticalCuts) {
32        sort(horizontalCuts.begin(), horizontalCuts.end());
33        sort(verticalCuts.begin(), verticalCuts.end());
34        
35        int maxh = INT_MIN, maxw = INT_MIN;
36        
37        for(int i = 0; i < horizontalCuts.size(); i++){
38            maxh = max(maxh, horizontalCuts[i] - ((i > 0) ? horizontalCuts[i-1] : 0));
39        }
40        maxh = max(maxh, h - horizontalCuts[horizontalCuts.size()-1]);
41        
42        for(int i = 0; i < verticalCuts.size(); i++){
43            maxw = max(maxw, verticalCuts[i] - ((i > 0) ? verticalCuts[i-1] : 0));
44        }
45        maxw = max(maxw, w - verticalCuts[verticalCuts.size()-1]);
46        
47        return moduloMultiplication(maxh, maxw, 1e9+7);
48    }
49};

Cost

Complexity

Time
O(n) to O(n log n), depending on the dominant loop or data structure operation
Dominated by the main traversal, recursion, or data-structure operations in the code.
Space
O(n) in the usual case for auxiliary containers or recursion
Auxiliary state plus the answer structure where the problem requires one.