Maximum Product Subarray in DSA C - Time & Space Complexity

Time Complexity: Maximum Product Subarray

O(n)

Understanding Time Complexity

We want to understand how the time needed to find the maximum product subarray changes as the input array grows.

How does the number of steps grow when the array gets bigger?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

int maxProduct(int* nums, int numsSize) {
    int maxProd = nums[0], minProd = nums[0], result = nums[0];
    for (int i = 1; i < numsSize; i++) {
        if (nums[i] < 0) {
            int temp = maxProd;
            maxProd = minProd;
            minProd = temp;
        }
        maxProd = (nums[i] > maxProd * nums[i]) ? nums[i] : maxProd * nums[i];
        minProd = (nums[i] < minProd * nums[i]) ? nums[i] : minProd * nums[i];
        if (maxProd > result) result = maxProd;
    }
    return result;
}
    

This code finds the maximum product of any contiguous subarray in the input array.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: A single loop that goes through each element of the array once.
• How many times: The loop runs exactly once for each element, so n times where n is the array size.

How Execution Grows With Input

As the array size grows, the number of steps grows directly in proportion.

Input Size (n)	Approx. Operations
10	About 10 steps
100	About 100 steps
1000	About 1000 steps

Pattern observation: Doubling the input size roughly doubles the work done.

Final Time Complexity

Time Complexity: O(n)

This means the time to find the maximum product subarray grows linearly with the size of the input array.

Common Mistake

[X] Wrong: "Because there are nested calculations, the time complexity must be quadratic O(n²)."

[OK] Correct: The code only loops once through the array; the calculations inside the loop are constant time, so the total time grows linearly, not quadratically.

Interview Connect

Understanding this linear time solution shows you can handle tricky problems efficiently, a skill that helps in many real-world coding challenges.

Self-Check

"What if we used a nested loop to check every possible subarray product? How would the time complexity change?"

Practice

1. What does the Maximum Product Subarray problem ask you to find in an array of integers?

easy

A. The subarray with the largest difference between elements

B. The contiguous subarray with the largest sum of its elements

C. The subarray with the smallest product of its elements

D. The contiguous subarray with the largest product of its elements

Solution

1. Step 1: Understand the problem and differentiate from similar problems

   The problem asks for a contiguous part of the array where the product of all elements is the highest possible. Unlike maximum sum subarray, this problem focuses on product, which can be affected by negative numbers and zeros.

2. Final Answer:

   The contiguous subarray with the largest product of its elements -> Option D

3. Quick Check:

   Maximum product subarray = largest product subarray [OK]

Hint: Focus on product, not sum, for this problem [OK]

Common Mistakes:

• Confusing product with sum
• Ignoring negative numbers impact
• Thinking subarray can be non-contiguous

2. Which of the following is the correct way to declare variables to track the maximum and minimum products at each step in C for the Maximum Product Subarray problem?

easy

A. int maxProd = 1, minProd = 1;

B. int maxProd, minProd = 0;

C. int maxProd = 0, minProd = 0;

D. int maxProd = -1, minProd = -1;

Solution

1. Step 1: Initialize maxProd and minProd properly and check alternatives

   Both maxProd and minProd should start at 1 because multiplying by 1 does not change the product. Other initializations use zero (nullifies products), negative values, or leave variables uninitialized leading to incorrect calculations or undefined behavior.

2. Final Answer:

   int maxProd = 1, minProd = 1; -> Option A

3. Quick Check:

   Initialize maxProd and minProd to 1 [OK]

Hint: Start max and min product as 1 to avoid zero multiplication [OK]

Common Mistakes:

• Initializing maxProd or minProd to 0
• Not initializing both variables
• Using negative initial values

3. What is the output of the following C code snippet for the array int arr[] = {2, 3, -2, 4};?

int maxProductSubarray(int* nums, int numsSize) {
    int maxProd = nums[0], minProd = nums[0], result = nums[0];
    for (int i = 1; i < numsSize; i++) {
        if (nums[i] < 0) {
            int temp = maxProd;
            maxProd = minProd;
            minProd = temp;
        }
        maxProd = (nums[i] > maxProd * nums[i]) ? nums[i] : maxProd * nums[i];
        minProd = (nums[i] < minProd * nums[i]) ? nums[i] : minProd * nums[i];
        if (maxProd > result) result = maxProd;
    }
    return result;
}

int main() {
    int arr[] = {2, 3, -2, 4};
    int size = sizeof(arr) / sizeof(arr[0]);
    printf("%d", maxProductSubarray(arr, size));
    return 0;
}

medium

A. 4

B. 6

C. -2

D. 24

Solution

1. Step 1: Trace the loop and determine final result

   Start with maxProd=2, minProd=2, result=2. - i=1 (3): maxProd=max(3,2*3)=6, minProd=min(3,2*3)=3, result=6 - i=2 (-2): swap to maxProd=3, minProd=6; maxProd=max(-2,3*(-2))=-2, minProd=min(-2,6*(-2))=-12, result=6 - i=3 (4): maxProd=max(4,-2*4)=4, minProd=min(4,-12*4)=-48, result=6 The maximum product found is 6 from subarray [2,3].

2. Final Answer:

   6 -> Option B

3. Quick Check:

   Max product subarray = 6 [OK]

Hint: Swap max and min when negative number encountered [OK]

Common Mistakes:

• Not swapping max and min on negative number
• Confusing max product with sum
• Incorrectly updating result

4. Identify the bug in the following C code snippet for Maximum Product Subarray and select the correct fix:

int maxProductSubarray(int* nums, int numsSize) {
    int maxProd = 1, minProd = 1, result = nums[0];
    for (int i = 0; i < numsSize; i++) {
        if (nums[i] < 0) {
            int temp = maxProd;
            maxProd = minProd;
            minProd = temp;
        }
        maxProd = (nums[i] > maxProd * nums[i]) ? nums[i] : maxProd * nums[i];
        minProd = (nums[i] < minProd * nums[i]) ? nums[i] : minProd * nums[i];
        if (maxProd > result) result = maxProd;
    }
    return result;
}

medium

A. Initialize maxProd and minProd with nums[0] and start loop from i=1

B. Remove the swap of maxProd and minProd when nums[i] < 0

C. Initialize result to 1 instead of nums[0]

D. Change the loop to run from i=1 to numsSize-1 without other changes

Solution

1. Step 1: Check initialization and loop start; analyze other options

   maxProd and minProd should start as nums[0] to correctly handle the first element. Loop should start from i=1 to avoid reprocessing first element. Removing swap breaks handling of negative numbers. Initializing result to 1 is incorrect if nums[0] is negative. Changing loop start without fixing initialization causes errors.

2. Final Answer:

   Initialize maxProd and minProd with nums[0] and start loop from i=1 -> Option A

3. Quick Check:

   Proper initialization and loop start fix bug [OK]

Hint: Initialize with first element, loop from second element [OK]

Common Mistakes:

• Starting loop from 0 with maxProd=1
• Not swapping max and min on negative
• Wrong initialization of result

5. Given the array int arr[] = {-1, -3, -10, 0, 60};, what is the maximum product of any contiguous subarray?

hard

A. 1800

B. 0

C. 60

D. -1

Solution

1. Step 1: Analyze subarrays and their products

   Relevant products: [60]=60, [-3,-10]=30, [-1,-3]=3, [-1,-3,-10]=-30, [-10]=-10, subarrays crossing or including 0=0. No larger contiguous product exists (e.g. [-3,-10,60] skips 0, invalid).

2. Final Answer:

   60 -> Option C

3. Quick Check:

   Max product subarray = 60 [OK]

Hint: Check negative pairs and zeros carefully [OK]

Common Mistakes:

• Thinking non-contiguous subarrays like [-3,-10,60] are valid
• Choosing [-3,-10]=30 instead of 60
• Confusing zero as max product