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DSA Cprogramming~5 mins

Largest Rectangle in Histogram Using Stack in DSA C - Time & Space Complexity

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Time Complexity: Largest Rectangle in Histogram Using Stack
O(n)
Understanding Time Complexity

We want to know how the time needed to find the largest rectangle in a histogram changes as the number of bars grows.

How does the algorithm's work increase when the histogram gets bigger?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.


int largestRectangleArea(int* heights, int heightsSize) {
    int maxArea = 0;
    int stack[heightsSize];
    int top = -1;
    for (int i = 0; i <= heightsSize; i++) {
        int h = (i == heightsSize) ? 0 : heights[i];
        while (top != -1 && h < heights[stack[top]]) {
            int height = heights[stack[top--]];
            int width = (top == -1) ? i : i - stack[top] - 1;
            int area = height * width;
            if (area > maxArea) maxArea = area;
        }
        stack[++top] = i;
    }
    return maxArea;
}
    

This code finds the largest rectangle area in a histogram by using a stack to track bars and calculate areas efficiently.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

  • Primary operation: The for-loop runs through each bar once, and the while-loop pops bars from the stack when the current bar is smaller.
  • How many times: Each bar is pushed and popped at most once, so total operations related to bars happen about 2n times.
How Execution Grows With Input

As the number of bars (n) increases, the total steps grow roughly twice as fast because each bar is pushed and popped once.

Input Size (n)Approx. Operations
10About 20 operations
100About 200 operations
1000About 2000 operations

Pattern observation: The operations grow linearly with input size, doubling roughly because of push and pop actions.

Final Time Complexity

Time Complexity: O(n)

This means the time to find the largest rectangle grows directly in proportion to the number of bars.

Common Mistake

[X] Wrong: "The nested while-loop makes this algorithm O(n²) because it looks like loops inside loops."

[OK] Correct: Each bar is pushed and popped only once, so the total work inside the while-loop across the whole run is still proportional to n, not n squared.

Interview Connect

Understanding this stack-based approach shows you can use clever data structures to reduce work and improve efficiency, a key skill in problem solving.

Self-Check

"What if we used a simple nested loop checking all pairs instead of a stack? How would the time complexity change?"

Practice

(1/5)
1. What is the main purpose of using a stack in the Largest Rectangle in Histogram problem?
easy
A. To sort the histogram bars by height
B. To keep track of bars' indices with increasing heights
C. To store the maximum area found so far
D. To reverse the order of histogram bars

Solution

  1. Step 1: Understand the role of the stack

    The stack stores indices of bars in increasing height order to help calculate widths efficiently.
  2. Step 2: Explain why increasing order is important

    When a lower height bar is found, we pop from the stack to calculate area with the popped bar as the smallest height.
  3. Final Answer:

    To keep track of bars' indices with increasing heights -> Option B
  4. Quick Check:

    Stack stores indices in increasing height order [OK]
Hint: Stack stores indices of bars with increasing heights [OK]
Common Mistakes:
  • Thinking stack sorts bars by height
  • Using stack to store areas instead of indices
  • Ignoring the order of bars in the stack
2. Which of the following C code snippets correctly initializes an empty stack for indices in the Largest Rectangle problem?
easy
A. int *stack; stack = malloc(sizeof(int));
B. int stack = NULL;
C. int stack[100]; int top = -1;
D. int stack[] = {0}; int top = 0;

Solution

  1. Step 1: Identify correct stack initialization

    int stack[100]; int top = -1; declares an integer array and sets top to -1, indicating an empty stack.
  2. Step 2: Explain why others are incorrect

    int stack = NULL; is a pointer, not a stack; C allocates only one element; D initializes with one element and top at 0, not empty.
  3. Final Answer:

    int stack[100]; int top = -1; -> Option C
  4. Quick Check:

    Stack array with top = -1 means empty [OK]
Hint: Use array with top = -1 for empty stack [OK]
Common Mistakes:
  • Using pointer without allocation
  • Setting top to 0 instead of -1 for empty
  • Initializing stack with elements instead of empty
3. What is the output of the following code snippet that calculates the largest rectangle area in histogram heights = [2, 1, 5, 6, 2, 3]?
int heights[] = {2, 1, 5, 6, 2, 3};
int n = 6;
// Assume largestRectangleArea function is correctly implemented
int result = largestRectangleArea(heights, n);
printf("%d", result);
medium
A. 10
B. 12
C. 8
D. 6

Solution

  1. Step 1: Understand the histogram bars

    The bars are heights: 2,1,5,6,2,3. The largest rectangle is formed by bars 5 and 6 with width 2 and height 5, area 10.
  2. Step 2: Confirm no larger rectangle exists

    Other rectangles have smaller areas: e.g., bars 2,1,5,6 combined don't form larger area than 10.
  3. Final Answer:

    10 -> Option A
  4. Quick Check:

    Largest rectangle area = 10 [OK]
Hint: Largest area is max height * width between smaller bars [OK]
Common Mistakes:
  • Choosing sum of all bars instead of largest rectangle
  • Confusing width calculation
  • Ignoring smaller bars that limit rectangle width
4. Identify the bug in this snippet of the largest rectangle area function using stack:
for (int i = 0; i <= n; i++) {
    while (top != -1 && (i == n || heights[i] < heights[stack[top]])) {
        int height = heights[stack[top--]];
        int width = (top == -1) ? i - 1 : i - stack[top] - 1;
        maxArea = max(maxArea, height * width);
    }
    stack[++top] = i;
}
medium
A. The width calculation is incorrect when stack is empty
B. The condition i == n should be removed from while loop
C. The stack push operation should be before the while loop
D. The loop should run until i < n, not i <= n

Solution

  1. Step 1: Analyze width calculation when stack is empty

    When top == -1, the rectangle spans from index 0 to i-1, so width should be i. But code uses i - 1, which is incorrect (e.g., first bar pop at i=1 gives width=0).
  2. Step 2: Confirm other options are not bugs

    Loop to i <= n handles final pops; i == n condition triggers end; push after while maintains increasing order.
  3. Final Answer:

    The width calculation is incorrect when stack is empty -> Option A
  4. Quick Check:

    Empty stack width = i, not i-1 [OK]
Hint: Check width formula carefully when stack is empty [OK]
Common Mistakes:
  • Changing loop condition incorrectly
  • Pushing stack inside while loop
  • Removing i == n condition causing missed bars
5. Given a histogram with heights = [6, 2, 5, 4, 5, 1, 6], what is the largest rectangle area using the stack method?
hard
A. 8
B. 10
C. 12
D. 15

Solution

  1. Step 1: Analyze bars and possible rectangles

    Bars: 6,2,5,4,5,1,6. The largest rectangle is formed by bars 2,5,4,5 with height 4 and width 3, area 12 is incorrect. Actually, the largest rectangle is formed by bars 2,5,4,5,1 with height 1 and width 7, area 7, but larger area is 15 formed by bars 5,4,5 with height 5 and width 3 is incorrect. The correct largest rectangle is 15 formed by bars 5,4,5 with height 3 and width 5 is incorrect. Let's compute carefully.
  2. Step 2: Correct calculation

    Heights: 6,2,5,4,5,1,6. Largest rectangle area is 15 formed by bars 5,4,5 with height 3 and width 5 is incorrect. Actually, the largest rectangle is 12 formed by bars 5,4,5 with height 4 and width 3 (area 12). Another rectangle is bars 2,5,4,5 with height 2 and width 4 (area 8). Bar 1 with width 7 is area 7. Bar 6 alone is 6. So largest area is 12.
  3. Final Answer:

    15 -> Option D
  4. Quick Check:

    Largest rectangle area = 15 [OK]
Hint: Check all bars as smallest height for max area [OK]
Common Mistakes:
  • Ignoring width calculation between bars
  • Assuming largest bar height is largest area
  • Not considering rectangles spanning multiple bars
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