Maximum Product Subarray in DSA Typescript - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main challenge when finding the maximum product subarray in an array of integers?

The main challenge is handling negative numbers because multiplying two negatives can become positive, so we must track both the maximum and minimum products at each step.

intermediate

In the Maximum Product Subarray problem, why do we keep track of both the maximum and minimum products at each index?

Because a minimum (negative) product multiplied by a negative number can become the maximum product, so tracking both helps handle sign changes correctly.

beginner

What is the time complexity of the optimal solution for the Maximum Product Subarray problem?

The time complexity is O(n), where n is the length of the array, because we scan the array once while keeping track of max and min products.

intermediate

Given the array [-2, 3, -4], what is the maximum product subarray and its product?

The maximum product subarray is the entire array [-2, 3, -4] with product 24, because (-2) * 3 * (-4) = 24.

beginner

What variables do you need to maintain while iterating through the array to solve the Maximum Product Subarray problem?

You need to maintain: current maximum product ending at the current index, current minimum product ending at the current index, and the global maximum product found so far.

Why do we update the minimum product along with the maximum product in the Maximum Product Subarray problem?

A Because minimum product helps to find the smallest subarray

B Because minimum product is always less than maximum product

C Because the minimum product can become maximum if multiplied by a negative number

D Because minimum product is used to count zeros

Tracking the minimum product is important because multiplying it by a negative number can turn it into a maximum product.

What is the initial value of the maximum and minimum product when starting the iteration?

A 0

B 1

C Infinity

D The first element of the array

We start with the first element because the subarray must include at least one element.

If the current number is zero, what should you do with the max and min products?

A Reset both max and min products to zero

B Reset both max and min products to the current number (zero)

C Reset both max and min products to one

D Ignore zero and continue

Zero breaks the product chain, so max and min products reset to zero at that position.

What is the time complexity of the Maximum Product Subarray solution?

A O(n)

B O(1)

C O(log n)

D O(n^2)

The solution scans the array once, so it runs in linear time O(n).

Which of these is NOT needed to solve the Maximum Product Subarray problem?

A Sorting the array

B Tracking current min product

C Tracking global max product

D Tracking current max product

Sorting is not needed; the solution works by scanning the array once.

Explain how to solve the Maximum Product Subarray problem step-by-step.

Think about how negative numbers affect product and why tracking min product helps.

Describe why tracking both maximum and minimum products is important in the Maximum Product Subarray problem.

Consider what happens when you multiply by a negative number.

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 sum of its elements

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

C. The longest subarray with all positive numbers

D. The subarray with the smallest product of its elements

Solution

1. Step 1: Understand the problem statement

   The problem asks for a contiguous part of the array where the product of all numbers is as large as possible.

2. Step 2: Differentiate from similar problems

   This is different from finding the largest sum or smallest product; it specifically focuses on the product of elements in a continuous segment.

3. Final Answer:

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

4. Quick Check:

   Maximum product subarray means largest product segment [OK]

Hint: Look for continuous elements with max product, not sum [OK]

Common Mistakes:

• Confusing product with sum
• Ignoring that subarray must be contiguous
• Thinking about longest subarray instead of max product

2. Which of the following TypeScript function signatures correctly represents a function to find the maximum product subarray?

easy

A. function maxProduct(nums: number[]): number

B. function maxProduct(nums: string): number

C. function maxProduct(nums: number): number[]

D. function maxProduct(nums: number[]): string

Solution

1. Step 1: Check input parameter type

   The input should be an array of numbers, so nums: number[] is correct.

2. Step 2: Check return type

   The function returns the maximum product value, which is a number, not an array or string.

3. Final Answer:

   function maxProduct(nums: number[]): number -> Option A

4. Quick Check:

   Input array, output number matches signature [OK]

Hint: Input is number array, output is single number [OK]

Common Mistakes:

• Using string type for input or output
• Returning array instead of number
• Incorrect parameter types

3. What is the output of the following TypeScript code?

function maxProduct(nums: number[]): number {
  let maxProd = nums[0];
  let minProd = nums[0];
  let result = nums[0];
  for (let i = 1; i < nums.length; i++) {
    if (nums[i] < 0) {
      [maxProd, minProd] = [minProd, maxProd];
    }
    maxProd = Math.max(nums[i], maxProd * nums[i]);
    minProd = Math.min(nums[i], minProd * nums[i]);
    result = Math.max(result, maxProd);
  }
  return result;
}

console.log(maxProduct([2, 3, -2, 4]));

medium

A. 6

B. 4

C. -2

D. 24

Solution

1. Step 1: Initialize variables and start loop

   maxProd, minProd, and result start at 2. Loop from index 1 to 3.

2. Step 2: Iterate and update maxProd, minProd, and result

   At i=1 (3): maxProd = max(3, 2*3)=6, minProd = min(3, 2*3)=3, result=6.
   At i=2 (-2): nums[i]<0, swap maxProd and minProd: maxProd=3, minProd=6.
   maxProd = max(-2, 3*(-2)) = max(-2, -6) = -2.
   minProd = min(-2, 6*(-2)) = min(-2, -12) = -12.
   result = max(6, -2) = 6.
   At i=3 (4): maxProd = max(4, -2*4) = max(4, -8) = 4.
   minProd = min(4, -12*4) = min(4, -48) = -48.
   result = max(6, 4) = 6.

3. Final Answer:

   6 -> Option A

4. Quick Check:

   Max product subarray is [2,3] = 6 [OK]

Hint: Track max and min products, swap on negative [OK]

Common Mistakes:

• Not swapping max and min on negative number
• Only tracking max product, ignoring min product
• Confusing max product with sum

4. Identify the bug in this TypeScript function for maximum product subarray:

function maxProduct(nums: number[]): number {
  let maxProd = 1;
  let minProd = 1;
  let result = Number.MIN_VALUE;
  for (let num of nums) {
    if (num < 0) {
      let temp = maxProd;
      maxProd = minProd;
      minProd = temp;
    }
    maxProd = Math.max(num, maxProd * num);
    minProd = Math.min(num, minProd * num);
    result = Math.max(result, maxProd);
  }
  return result;
}

medium

A. Initializing maxProd and minProd to 0 instead of 1

B. Not swapping maxProd and minProd when num is positive

C. Using a for loop instead of forEach

D. Using Number.MIN_VALUE instead of Number.NEGATIVE_INFINITY for result

Solution

1. Step 1: Understand Number.MIN_VALUE usage

   Number.MIN_VALUE is the smallest positive number close to zero, not the most negative number.

2. Step 2: Correct initialization for result

   To track maximum product correctly, result should start at Number.NEGATIVE_INFINITY to handle negative products properly.

3. Final Answer:

   Using Number.MIN_VALUE instead of Number.NEGATIVE_INFINITY for result -> Option D

4. Quick Check:

   Use Number.NEGATIVE_INFINITY for max tracking [OK]

Hint: Use Number.NEGATIVE_INFINITY for max initial value [OK]

Common Mistakes:

• Confusing Number.MIN_VALUE with negative infinity
• Not swapping max and min on negative number
• Wrong initial values for maxProd and minProd

5. Given the array [-1, -3, -10, 0, 60], what is the maximum product subarray and its product?

hard

A. Subarray: [-1, -3, -10], Product: -30

B. Subarray: [-3, -10, 0], Product: 0

C. Subarray: [60], Product: 60

D. Subarray: [-10, 0, 60], Product: 0

Solution

1. Step 1: Analyze subarrays and their products

   Check products of contiguous subarrays:
   [-1] = -1
   [-1, -3] = 3
   [-1, -3, -10] = -30
   [-3] = -3
   [-3, -10] = 30
   [-10] = -10
   [0] = 0
   [60] = 60

2. Step 2: Identify maximum product

   The largest product found is 60 from subarray [60].

3. Final Answer:

   Subarray: [60], Product: 60 -> Option C

4. Quick Check:

   Max product is 60 from single element [60] [OK]

Hint: Check single elements and negative pairs carefully [OK]

Common Mistakes:

• Assuming negative product is maximum
• Ignoring single element subarrays
• Confusing zero product with max product