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DSA Javascriptprogramming~3 mins

Why Climbing Stairs Problem in DSA Javascript?

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The Big Idea

What if you could instantly know all the ways to climb stairs without writing a single sequence?

The Scenario

Imagine you want to know how many ways you can climb a staircase with many steps, but you try to list all possible step combinations by hand.

For example, for 5 steps, you try to write down all sequences of 1-step and 2-step moves.

The Problem

Listing all combinations manually is slow and confusing. As the number of steps grows, the possibilities explode, making it impossible to keep track without mistakes.

You waste time and get frustrated trying to count without missing any option.

The Solution

The Climbing Stairs Problem uses a simple formula that builds on smaller answers to find the total ways quickly.

Instead of listing all sequences, it adds the ways to climb to the previous step and the step before that, making counting fast and error-free.

Before vs After
✗ Before
function countWays(steps) {
  // Try to list all sequences manually (impractical)
  // No code here because it's too complex
}
✓ After
function countWays(steps) {
  if (steps <= 2) return steps;
  let waysToStepOne = 1;
  let waysToStepTwo = 2;
  for (let currentStep = 3; currentStep <= steps; currentStep++) {
    let totalWays = waysToStepOne + waysToStepTwo;
    waysToStepOne = waysToStepTwo;
    waysToStepTwo = totalWays;
  }
  return waysToStepTwo;
}
What It Enables

This concept lets you quickly find how many ways to climb any number of steps without listing all possibilities.

Real Life Example

Planning your workout, you want to know how many different step patterns you can use to climb a flight of stairs to keep it fun and varied.

Key Takeaways

Manual counting of step sequences is slow and error-prone.

Using previous results speeds up counting ways to climb stairs.

This approach scales easily to large numbers of steps.

Practice

(1/5)
1. What does the Climbing Stairs problem ask you to find?
Given n stairs, how many distinct ways can you climb to the top if you can take 1 or 2 steps at a time?
easy
A. The total number of distinct ways to reach the top
B. The minimum number of steps to reach the top
C. The maximum number of steps you can take at once
D. The number of stairs you skip

Solution

  1. Step 1: Understand the problem statement

    The problem asks for the count of different ways to climb to the top using steps of size 1 or 2.
  2. Step 2: Identify what is being counted

    We count all possible sequences of 1-step and 2-step moves that sum to n stairs.
  3. Final Answer:

    The total number of distinct ways to reach the top -> Option A
  4. Quick Check:

    Counting sequences = total ways [OK]
Hint: Count sequences of 1 or 2 steps summing to n [OK]
Common Mistakes:
  • Thinking it's about minimum steps
  • Confusing number of ways with step size
  • Ignoring the 2-step option
2. Which of the following is the correct JavaScript function signature to solve the Climbing Stairs problem?
easy
A. function climbStairs(n, m) {}
B. function climb_stairs(n) {}
C. function climbStairs(n) {}
D. function climbStairs() {}

Solution

  1. Step 1: Identify the function name and parameters

    The problem requires one input: the number of stairs n. The function name should be descriptive and camelCase is standard in JavaScript.
  2. Step 2: Check each option

    function climbStairs(n) {} uses camelCase and one parameter n, which is correct. function climb_stairs(n) {} uses snake_case which is uncommon in JS. function climbStairs(n, m) {} has an extra parameter m which is unnecessary. function climbStairs() {} has no parameters, so it cannot accept n.
  3. Final Answer:

    function climbStairs(n) {} -> Option C
  4. Quick Check:

    Correct function name and parameter [OK]
Hint: Use camelCase and one parameter n for stairs [OK]
Common Mistakes:
  • Using snake_case instead of camelCase
  • Adding unnecessary parameters
  • Omitting the parameter for stairs
3. What is the output of the following JavaScript code?
function climbStairs(n) {
  if (n <= 2) return n;
  let a = 1, b = 2, temp;
  for (let i = 3; i <= n; i++) {
    temp = a + b;
    a = b;
    b = temp;
  }
  return b;
}
console.log(climbStairs(4));
medium
A. 3
B. 5
C. 4
D. 6

Solution

  1. Step 1: Understand the base cases and loop

    For n=1, returns 1; for n=2, returns 2. For n=4, loop runs from i=3 to 4.
  2. Step 2: Trace the loop iterations

    i=3: temp = 1+2=3, a=2, b=3
    i=4: temp = 2+3=5, a=3, b=5
    Return b=5.
  3. Final Answer:

    5 -> Option B
  4. Quick Check:

    Ways for 4 stairs = 5 [OK]
Hint: Trace loop updates for i=3 and i=4 [OK]
Common Mistakes:
  • Returning a instead of b
  • Miscounting loop iterations
  • Confusing base case returns
4. Find the error in this JavaScript code for climbing stairs:
function climbStairs(n) {
  if (n == 1) return 1;
  let a = 1, b = 2;
  for (let i = 2; i <= n; i++) {
    let temp = a + b;
    a = b;
    b = temp;
  }
  return b;
}
medium
A. Loop starts at wrong index causing extra iteration
B. Base case for n=1 is incorrect
C. Variables a and b are initialized incorrectly
D. Return statement should return a instead of b

Solution

  1. Step 1: Analyze the loop range

    The loop runs from i=2 to n inclusive. For n=2, loop runs once, but base cases expect no loop for n=2.
  2. Step 2: Identify correct loop start

    Loop should start at i=3 to avoid extra iteration and match base cases. Starting at i=2 causes one extra iteration.
  3. Final Answer:

    Loop starts at wrong index causing extra iteration -> Option A
  4. Quick Check:

    Loop index must start at 3 [OK]
Hint: Loop should start at 3, not 2 [OK]
Common Mistakes:
  • Starting loop at 2 instead of 3
  • Misunderstanding base cases
  • Returning wrong variable
5. You want to find the number of ways to climb 10 stairs but can take 1, 2, or 3 steps at a time. Which modification to the climbing stairs code is correct?
function climbStairs(n) {
  if (n <= 1) return 1;
  let dp = [1, 1, 2];
  for (let i = 3; i <= n; i++) {
    dp[i] = dp[i-1] + dp[i-2] + dp[i-3];
  }
  return dp[n];
}
hard
A. dp array initialization is missing zeros
B. Base cases are incorrect for 3-step option
C. Loop should start at i=2 instead of i=3
D. This code correctly counts ways with 1, 2, or 3 steps

Solution

  1. Step 1: Understand the problem extension

    Now steps can be 1, 2, or 3. The number of ways to reach step i is sum of ways to reach i-1, i-2, and i-3.
  2. Step 2: Check code logic and base cases

    dp array starts with dp[0]=1 (1 way to stand still), dp[1]=1, dp[2]=2 (ways to climb 2 steps). Loop starts at i=3 and sums previous three dp values correctly.
  3. Final Answer:

    This code correctly counts ways with 1, 2, or 3 steps -> Option D
  4. Quick Check:

    Sum of last 3 dp values for each step [OK]
Hint: Sum last 3 dp values for each step [OK]
Common Mistakes:
  • Not updating base cases for 3-step
  • Starting loop at wrong index
  • Forgetting to sum three previous dp values
Recommended

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10 questions~5 mineasy hard