Min Stack Design in DSA Javascript - Time & Space Complexity

Time Complexity: Min Stack Design

O(1)

Understanding Time Complexity

We want to understand how fast the Min Stack operations run as the stack grows.

How does the time to push, pop, or get the minimum change with more items?

Scenario Under Consideration

Analyze the time complexity of the following Min Stack implementation.

class MinStack {
  constructor() {
    this.stack = [];
    this.minStack = [];
  }

  push(x) {
    this.stack.push(x);
    if (!this.minStack.length || x <= this.minStack[this.minStack.length - 1]) {
      this.minStack.push(x);
    }
  }

  pop() {
    const val = this.stack.pop();
    if (val === this.minStack[this.minStack.length - 1]) {
      this.minStack.pop();
    }
    return val;
  }

  getMin() {
    return this.minStack[this.minStack.length - 1];
  }
}
    

This code keeps track of the minimum value using a second stack alongside the main stack.

Identify Repeating Operations

Look at the main operations that repeat as the stack changes.

• Primary operation: push and pop on arrays (stacks) which happen once per call.
• How many times: Each operation runs once per call, no loops inside push, pop, or getMin.

How Execution Grows With Input

Each push or pop does a fixed number of steps regardless of stack size.

Input Size (n)	Approx. Operations per push/pop/getMin
10	3-4 steps
100	3-4 steps
1000	3-4 steps

Pattern observation: The number of steps stays about the same no matter how big the stack is.

Final Time Complexity

Time Complexity: O(1)

This means each operation takes the same short time no matter how many items are in the stack.

Common Mistake

[X] Wrong: "Finding the minimum must check all items, so it takes longer as the stack grows."

[OK] Correct: The min stack keeps track of minimums as items are added or removed, so getMin just looks at the top of minStack instantly.

Interview Connect

Knowing how to keep track of minimums efficiently shows you can design smart data structures that save time.

Self-Check

"What if we stored the minimum value only once instead of a stack? How would that affect the time complexity?"

Practice

1. What is the main purpose of a Min Stack data structure?

easy

A. To store elements in a queue fashion

B. To sort elements in ascending order

C. To retrieve the minimum element in constant time

D. To reverse the order of elements

Solution

1. Step 1: Understand the Min Stack concept

   A Min Stack is designed to keep track of the minimum element at any time efficiently.

2. Step 2: Identify the main feature

   The key feature is to get the minimum element in constant time, without scanning all elements.

3. Final Answer:

   To retrieve the minimum element in constant time -> Option C

4. Quick Check:

   Min Stack = fast minimum retrieval [OK]

Hint: Min Stack always returns minimum quickly [OK]

Common Mistakes:

• Thinking it sorts elements
• Confusing with queue behavior
• Assuming it reverses elements

2. Which of the following is the correct way to initialize a Min Stack class in JavaScript?

easy

A. class MinStack { constructor() { this.stack = []; this.minStack = []; } }

B. function MinStack() { this.stack = {}; this.minStack = {}; }

C. class MinStack { constructor() { this.stack = null; this.minStack = null; } }

D. var MinStack = () => { this.stack = []; this.minStack = []; }

Solution

1. Step 1: Check class syntax and initialization

   class MinStack { constructor() { this.stack = []; this.minStack = []; } } correctly uses ES6 class syntax with constructor initializing two arrays.

2. Step 2: Identify incorrect options

   The function constructor uses object literals {} instead of arrays. Initializing stacks to null is incorrect. Arrow functions cannot be used for class constructors.

3. Final Answer:

   class MinStack { constructor() { this.stack = []; this.minStack = []; } } -> Option A

4. Quick Check:

   Correct class and array initialization = class MinStack { constructor() { this.stack = []; this.minStack = []; } } [OK]

Hint: Use ES6 class with arrays for stacks [OK]

Common Mistakes:

• Using object literals instead of arrays
• Initializing stacks as null
• Using arrow functions for classes

3. What will be the output of the following code?

const minStack = new MinStack();
minStack.push(3);
minStack.push(5);
minStack.push(2);
minStack.push(1);
minStack.pop();
console.log(minStack.getMin());

Assuming MinStack is implemented correctly with push, pop, and getMin methods.

medium

A. 2

B. 5

C. 3

D. 1

Solution

1. Step 1: Trace the push operations

   Push 3, 5, 2, 1 in order. Stack: [3,5,2,1]. Minimum is 1.

2. Step 2: Pop the last element and check minimum

   Pop removes 1. Stack becomes [3,5,2]. Minimum now is 2.

3. Final Answer:

   2 -> Option A

4. Quick Check:

   After pop, min = 2 [OK]

Hint: Pop removes min, next min updates [OK]

Common Mistakes:

• Forgetting to update min after pop
• Assuming min stays same after pop
• Confusing stack order

4. Identify the bug in this pop method of a Min Stack:

pop() {
  if (this.stack.length === 0) return null;
  const popped = this.stack.pop();
  if (popped === this.minStack[this.minStack.length - 1]) {
    this.minStack.pop();
  }
  return popped;
}

medium

A. It returns popped value instead of void

B. It does not check if stack is empty before popping

C. It compares popped value with minStack top incorrectly

D. It does not update minStack when popping minimum

Solution

1. Step 1: Analyze pop method behavior

   The method pops from stack and conditionally pops from minStack. It returns the popped value.

2. Step 2: Check expected pop return type in Min Stack

   Usually, pop in Min Stack returns void (no value). Returning popped value may cause misuse or confusion.

3. Final Answer:

   It does not check if stack is empty before popping -> Option B

4. Quick Check:

   Pop should check for empty stack before popping [OK]

Hint: Pop should check empty stack before popping [OK]

Common Mistakes:

• Returning popped value instead of void
• Not checking empty stack before pop
• Incorrect minStack update logic

5. You want to design a Min Stack that supports push, pop, top, and getMin all in constant time. Which approach below is the best to achieve this?

hard

A. Use a linked list and traverse it to find minimum on getMin

B. Use one stack and scan all elements to find min when needed

C. Use a queue to store elements and sort it on every push

D. Use two stacks: one for all elements, one for current minimums

Solution

1. Step 1: Understand time complexity requirements

   All operations must be constant time, so scanning or sorting on each operation is not allowed.

2. Step 2: Evaluate each approach

   Scanning all elements to find the minimum, traversing a linked list, or sorting on every push all take more than constant time. Using two stacks--one for all elements, one for current minimums--ensures constant time for all operations.

3. Final Answer:

   Use two stacks: one for all elements, one for current minimums -> Option D

4. Quick Check:

   Two stacks = constant time min retrieval [OK]

Hint: Two stacks track elements and minimum separately [OK]

Common Mistakes:

• Using scanning or sorting which is slow
• Confusing queue with stack behavior
• Ignoring constant time requirement