Trapping Rain Water Problem in DSA C++ - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main goal of the Trapping Rain Water Problem?

To find how much water can be trapped between bars of different heights after raining.

beginner

What does the 'left max' array represent in the Trapping Rain Water solution?

It stores the highest bar height from the left up to each position.

intermediate

Why do we use both 'left max' and 'right max' arrays in the Trapping Rain Water Problem?

Because water trapped at a position depends on the tallest bars on both left and right sides.

intermediate

What is the time complexity of the optimal Trapping Rain Water solution using two arrays?

O(n), where n is the number of bars, because we traverse the array a few times linearly.

advanced

Can the Trapping Rain Water Problem be solved using two pointers without extra arrays? Briefly explain.

Yes, by using two pointers moving inward and keeping track of left and right max heights, we can calculate trapped water in O(n) time and O(1) space.

What does the trapped water at a bar depend on?

A Maximum of highest bars on left and right minus current bar height

B Minimum of highest bars on left and right minus current bar height

C Sum of highest bars on left and right minus current bar height

D Current bar height only

Water trapped depends on the smaller of the tallest bars on both sides minus the current bar height.

Which data structure is commonly used to store left max and right max heights?

A Queues

B Stacks

C Arrays

D Linked lists

Arrays are used to store precomputed left max and right max heights for each position.

What is the space complexity of the two-array solution for Trapping Rain Water?

A O(log n)

B O(1)

C O(n^2)

D O(n)

Two extra arrays of size n are used, so space complexity is O(n).

In the two-pointer approach, when do we move the left pointer?

A When left max is less than or equal to right max

B When right max is less than left max

C Always move right pointer first

D When current bar height is zero

We move left pointer when left max is less or equal to right max to calculate trapped water correctly.

What is the main advantage of the two-pointer approach over the two-array approach?

A Uses less space (O(1))

B Runs faster than O(n)

C Simpler to implement

D Works only for sorted bars

Two-pointer approach uses constant extra space, unlike two-array approach which uses O(n) space.

Explain how to calculate trapped rain water at each bar using left max and right max arrays.

Think about the tallest bars on both sides of each bar.

Describe the two-pointer approach to solve the Trapping Rain Water Problem and why it saves space.

Focus on comparing left max and right max to decide pointer movement.

Practice

1. What does the Trapping Rain Water problem ask you to find given an array of heights?

easy

A. The total amount of water that can be trapped between the bars after raining

B. The highest bar in the array

C. The number of bars taller than a given height

D. The sum of all bar heights

Solution

1. Step 1: Understand the problem context

   The problem gives an array representing heights of bars and asks how much water can be trapped between them after it rains.

2. Step 2: Identify the goal

   The goal is to calculate the total trapped water volume, not just heights or counts.

3. Final Answer:

   The total amount of water that can be trapped between the bars after raining -> Option A

4. Quick Check:

   Trapping rain water = total trapped water [OK]

Hint: Think of bars as walls holding water in gaps [OK]

Common Mistakes:

• Confusing trapped water with highest bar height
• Summing bar heights instead of trapped water
• Counting bars taller than a certain height

2. Which of the following C++ code snippets correctly initializes a vector named heights with values {0,1,0,2,1,0,1,3,2,1,2,1}?

easy

A. std::vector<int> heights = (0,1,0,2,1,0,1,3,2,1,2,1);

B. std::vector<int> heights = {0,1,0,2,1,0,1,3,2,1,2,1};

C. vector<int> heights(0,1,0,2,1,0,1,3,2,1,2,1);

D. std::vector heights = {0,1,0,2,1,0,1,3,2,1,2,1};

Solution

1. Step 1: Check vector initialization syntax

   In C++, std::vector<int> can be initialized with curly braces and values inside, like {0,1,...}.

2. Step 2: Identify correct syntax

   std::vector<int> heights = {0,1,0,2,1,0,1,3,2,1,2,1}; uses correct syntax with std::vector<int> and brace initialization.

3. Final Answer:

   std::vector<int> heights = {0,1,0,2,1,0,1,3,2,1,2,1}; -> Option B

4. Quick Check:

   Correct vector init uses braces and type [OK]

Hint: Use curly braces {} for vector initialization [OK]

Common Mistakes:

• Omitting std:: before vector
• Using parentheses instead of braces
• Not specifying vector type

3. What is the output of the following C++ code snippet that calculates trapped rain water?

std::vector<int> height = {0,1,0,2,1,0,1,3,2,1,2,1};
int n = height.size();
int left_max = 0, right_max = 0, left = 0, right = n - 1, water = 0;
while (left < right) {
  if (height[left] < height[right]) {
    if (height[left] >= left_max) left_max = height[left];
    else water += left_max - height[left];
    left++;
  } else {
    if (height[right] >= right_max) right_max = height[right];
    else water += right_max - height[right];
    right--;
  }
}
std::cout << water << std::endl;

medium

A. 6

B. 5

C. 7

D. 8

Solution

1. Step 1: Understand two-pointer approach

   Two pointers move inward, tracking max heights on left and right, accumulating trapped water where current height is less than max.

2. Step 2: Trace the code logic on given input

   For input {0,1,0,2,1,0,1,3,2,1,2,1}, the total trapped water calculated is 6 units.

3. Final Answer:

   6 -> Option A

4. Quick Check:

   Two-pointer trapped water = 6 [OK]

Hint: Use two pointers and track max heights from both ends [OK]

Common Mistakes:

• Not updating left_max or right_max correctly
• Adding negative water amounts
• Confusing left and right pointer moves

4. Identify the bug in this C++ code snippet for trapping rain water and select the fix:

std::vector<int> height = {4,2,0,3,2,5};
int n = height.size();
int left_max = 0, right_max = 0, left = 0, right = n - 1, water = 0;
while (left <= right) {
  if (height[left] < height[right]) {
    if (height[left] > left_max) left_max = height[left];
    else water += left_max - height[left];
    left++;
  } else {
    if (height[right] > right_max) right_max = height[right];
    else water += right_max - height[right];
    right--;
  }
}
std::cout << water << std::endl;

medium

A. Initialize left_max and right_max to height[0] and height[n-1] respectively

B. Use '>=' instead of '>' when updating left_max and right_max

C. Change while condition to 'left < right' to avoid double counting

D. No bug, code is correct

Solution

1. Step 1: Analyze loop condition impact

   The loop uses 'left <= right', which causes the middle element to be processed twice, leading to incorrect water calculation.

2. Step 2: Fix loop condition

   Changing condition to 'left < right' ensures each element is processed once, preventing double counting.

3. Final Answer:

   Change while condition to 'left < right' to avoid double counting -> Option C

4. Quick Check:

   Loop condition 'left < right' fixes double count bug [OK]

Hint: Use strict less than in two-pointer loops [OK]

Common Mistakes:

• Using <= instead of < in while loop
• Not updating max heights correctly
• Assuming no bug without testing

5. Given an array representing heights of bars, how would you modify the standard trapping rain water algorithm to handle very large input efficiently without extra space?

hard

A. Use recursion to calculate trapped water for each bar

B. Precompute left_max and right_max arrays and sum trapped water using extra arrays

C. Sort the array and calculate trapped water based on sorted positions

D. Use two pointers from both ends, track max heights, and calculate trapped water on the fly

Solution

1. Step 1: Understand space constraints

   Precomputing arrays uses extra space O(n), which is costly for very large inputs.

2. Step 2: Use two-pointer approach for O(1) space

   Two pointers from both ends track max heights and calculate trapped water without extra arrays, making it efficient.

3. Final Answer:

   Use two pointers from both ends, track max heights, and calculate trapped water on the fly -> Option D

4. Quick Check:

   Two-pointer approach = efficient O(1) space [OK]

Hint: Two pointers save space by avoiding extra arrays [OK]

Common Mistakes:

• Using extra arrays causing high memory use
• Sorting changes bar order, invalid for trapping water
• Recursion adds overhead and complexity