Why Container With Most Water in DSA Go?

The Big Idea

What if you could find the biggest water container without checking every single pair?

The Scenario

Imagine you have a row of vertical lines on a wall, each with different heights. You want to find two lines that, together with the floor, can hold the most water. Doing this by checking every possible pair manually is like trying to measure every possible container by hand--very tiring and slow!

The Problem

Manually checking every pair means a lot of repeated work. For example, if you have 100 lines, you would need to check 4,950 pairs! This takes a lot of time and can easily lead to mistakes or missing the best pair.

The Solution

The "Container With Most Water" approach uses two pointers starting at both ends of the line array. By moving the pointer with the smaller height inward, it smartly skips unnecessary checks and quickly finds the best container. This saves time and effort.

Before vs After

✗ Before

maxArea := 0
for i := 0; i < len(height); i++ {
  for j := i + 1; j < len(height); j++ {
    area := min(height[i], height[j]) * (j - i)
    if area > maxArea {
      maxArea = area
    }
  }
}

✓ After

left, right := 0, len(height)-1
maxArea := 0
for left < right {
  area := min(height[left], height[right]) * (right - left)
  if area > maxArea {
    maxArea = area
  }
  if height[left] < height[right] {
    left++
  } else {
    right--
  }
}

What It Enables

This method lets you find the largest water container quickly, even with thousands of lines, making your program fast and efficient.

Real Life Example

Think of trying to find the widest and tallest gap between buildings to hold the most rainwater on a street. Checking every pair would take forever, but this method finds the best spot fast.

Key Takeaways

Manual checking every pair is slow and error-prone.

Two-pointer technique smartly narrows down the search.

Efficiently finds the maximum water container in linear time.

Practice

1. What does the problem Container With Most Water ask you to find given an array of heights?

easy

A. The sum of all heights

B. The minimum height in the array

C. The maximum area of water that can be contained between two lines

D. The number of lines taller than a given height

Solution

1. Step 1: Understand the problem statement

   The problem asks to find two lines which together with the x-axis form a container that holds the most water.

2. Step 2: Identify what to calculate

   We calculate the area between two lines as the width between them times the smaller height.

3. Final Answer:

   The maximum area of water that can be contained between two lines -> Option C

4. Quick Check:

   Container with most water = maximum area [OK]

Hint: Focus on max area between two heights, not sum or count [OK]

Common Mistakes:

• Confusing max area with sum of heights
• Ignoring the smaller height when calculating area
• Thinking about counting lines instead of area

2. Which of the following Go code snippets correctly declares a slice of heights for the Container With Most Water problem?

easy

A. heights := []int{1, 8, 6, 2, 5, 4, 8, 3, 7}

B. heights := [1, 8, 6, 2, 5, 4, 8, 3, 7]

C. heights := (1, 8, 6, 2, 5, 4, 8, 3, 7)

D. heights := {1, 8, 6, 2, 5, 4, 8, 3, 7}

Solution

1. Step 1: Recall Go slice declaration syntax

   In Go, slices are declared using []type{values}, for example []int{1,2,3}.

2. Step 2: Check each option

   heights := []int{1, 8, 6, 2, 5, 4, 8, 3, 7} uses []int{...} which is correct. Options A, B, C use invalid syntax for slices.

3. Final Answer:

   heights := []int{1, 8, 6, 2, 5, 4, 8, 3, 7} -> Option A

4. Quick Check:

   Slice declaration uses []type{values} [OK]

Hint: Use []int{...} to declare slices in Go [OK]

Common Mistakes:

• Using parentheses or braces instead of [] for slices
• Confusing arrays and slices syntax
• Missing type declaration in slice

3. What is the output of the following Go code snippet that implements the Container With Most Water logic?

package main
import "fmt"
func maxArea(height []int) int {
    left, right := 0, len(height)-1
    maxArea := 0
    for left < right {
        width := right - left
        var h int
        if height[left] < height[right] {
            h = height[left]
            left++
        } else {
            h = height[right]
            right--
        }
        area := width * h
        if area > maxArea {
            maxArea = area
        }
    }
    return maxArea
}
func main() {
    heights := []int{1,8,6,2,5,4,8,3,7}
    fmt.Println(maxArea(heights))
}

medium

A. 49

B. 56

C. 48

D. 64

Solution

1. Step 1: Understand the two-pointer approach

   Start with left=0 and right=8, calculate area and move the pointer with smaller height inward.

2. Step 2: Trace the iterations

   Initial area: min(1,7)*8=8 Move left to 1 Next area: min(8,7)*7=49 Move right to 7 Next area: min(8,3)*6=18 Move right to 6 Next area: min(8,8)*5=40 Move right to 5 Next area: min(8,4)*4=16 Move right to 4 Next area: min(8,5)*3=15 Move right to 3 Next area: min(8,2)*2=4 Move right to 2 Next area: min(8,6)*1=1 Move left to 2 Max area found is 49.

3. Final Answer:

   49 -> Option A

4. Quick Check:

   Max area calculated by two-pointer = 49 [OK]

Hint: Use two pointers moving inward, track max area [OK]

Common Mistakes:

• Calculating area with max height instead of min
• Not moving the pointer with smaller height
• Confusing width calculation

4. Identify the bug in this Go function for Container With Most Water and select the fix:

func maxArea(height []int) int {
    left, right := 0, len(height)-1
    maxArea := 0
    for left <= right {
        width := right - left
        var h int
        if height[left] < height[right] {
            h = height[left]
            left++
        } else {
            h = height[right]
            right--
        }
        area := width * h
        if area > maxArea {
            maxArea = area
        }
    }
    return maxArea
}

medium

A. Use maxArea = area without checking if area > maxArea

B. Initialize maxArea to -1 instead of 0

C. Increment both left and right pointers inside the loop

D. Change loop condition to 'left < right' instead of 'left <= right'

Solution

1. Step 1: Analyze the loop condition

   The loop runs while left <= right, which allows left and right to be equal, causing width to be zero or negative.

2. Step 2: Fix the loop condition

   Changing to left < right ensures width is always positive and valid for area calculation.

3. Final Answer:

   Change loop condition to 'left < right' instead of 'left <= right' -> Option D

4. Quick Check:

   Loop must run while left < right [OK]

Hint: Use strict less than for pointers to avoid zero width [OK]

Common Mistakes:

• Using <= instead of < causing invalid area
• Updating both pointers at once
• Not checking if area is greater before updating maxArea

5. Given the heights slice []int{4, 3, 2, 1, 4}, what is the maximum water container area? Use the two-pointer approach and explain why the maximum area is found at those positions.

hard

A. 12

B. 16

C. 8

D. 6

Solution

1. Step 1: Initialize pointers and calculate areas

   Start with left=0 (height=4), right=4 (height=4), width=4, area=4*4=16.

2. Step 2: Move pointers and check other areas

   Since heights[left] == heights[right], move right pointer left: Now left=0, right=3 (height=1), width=3, area=min(4,1)*3=3 Move right to 2 (height=2), area= min(4,2)*2=4 Move right to 1 (height=3), area= min(4,3)*1=3 Max area remains 16.

3. Final Answer:

   16 -> Option B

4. Quick Check:

   Max area between positions 0 and 4 = 16 [OK]

Hint: Max area often at widest distance with min height [OK]

Common Mistakes:

• Not considering both ends first
• Moving wrong pointer when heights are equal
• Calculating area incorrectly with wrong width