Climbing Stairs Problem in DSA C - Time & Space Complexity

Time Complexity: Climbing Stairs Problem

O(n)

Understanding Time Complexity

We want to understand how the time needed to solve the climbing stairs problem changes as the number of stairs grows.

Specifically, how does the number of steps to calculate ways increase when the stairs increase?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

int climbStairs(int n) {
    if (n <= 2) return n;
    int first = 1, second = 2, third = 0;
    for (int i = 3; i <= n; i++) {
        third = first + second;
        first = second;
        second = third;
    }
    return second;
}
    

This code calculates how many distinct ways there are to climb n stairs, taking 1 or 2 steps at a time.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: The for-loop that runs from 3 to n.
• How many times: It runs (n - 2) times, once for each stair from 3 up to n.

How Execution Grows With Input

Each new stair adds one more loop iteration, so the work grows steadily as n grows.

Input Size (n)	Approx. Operations
10	8 (loop runs 8 times)
100	98 (loop runs 98 times)
1000	998 (loop runs 998 times)

Pattern observation: The number of operations grows linearly with the number of stairs.

Final Time Complexity

Time Complexity: O(n)

This means the time to find the number of ways grows in direct proportion to the number of stairs.

Common Mistake

[X] Wrong: "Because the problem involves Fibonacci numbers, the time complexity is exponential."

[OK] Correct: This code uses a simple loop and stores only needed values, so it runs in linear time, not exponential.

Interview Connect

Understanding this problem's time complexity shows you can spot efficient solutions and avoid slow recursive traps, a key skill in interviews.

Self-Check

"What if we changed the code to use simple recursion without memoization? How would the time complexity change?"

Practice

1. What does the Climbing Stairs problem ask you to find?
Given n steps, how many distinct ways can you climb to the top if you can take 1 or 2 steps at a time?

easy

A. The number of steps you skip

B. The total number of distinct ways to reach the top

C. The maximum number of steps you can take at once

D. The minimum number of steps to reach the top

Solution

1. Step 1: Understand the problem statement

   The problem asks for the count of all possible ways to climb to the top using steps of size 1 or 2.

2. Step 2: Identify what is being counted

   We count distinct sequences of 1-step and 2-step moves that sum to n steps.

3. Final Answer:

   The total number of distinct ways to reach the top -> Option B

4. Quick Check:

   Counting ways = total distinct sequences [OK]

Hint: Count sequences of 1 or 2 steps summing to n [OK]

Common Mistakes:

• Confusing number of ways with minimum steps
• Thinking about maximum step size instead of counting ways
• Ignoring the step size options

2. Which of the following is the correct base case initialization for the Climbing Stairs problem in C?

easy

A. int ways[1] = 1; int ways[2] = 2;

B. int ways[0] = 1; int ways[1] = 2;

C. int ways[0] = 0; int ways[1] = 1;

D. int ways[1] = 0; int ways[2] = 1;

Solution

1. Step 1: Identify base cases for climbing stairs

   For 1 step, ways = 1 (only one way). For 2 steps, ways = 2 (1+1 or 2).

2. Step 2: Match base cases with options

   int ways[1] = 1; int ways[2] = 2; correctly sets ways[1] = 1 and ways[2] = 2.

3. Final Answer:

   int ways[1] = 1; int ways[2] = 2; -> Option A

4. Quick Check:

   Base cases: ways[1]=1, ways[2]=2 [OK]

Hint: Remember ways(1)=1 and ways(2)=2 base cases [OK]

Common Mistakes:

• Setting ways[0] incorrectly
• Confusing ways for 1 and 2 steps
• Using zero for ways[1]

3. What is the output of the following C code snippet for n = 4?

int climbStairs(int n) {
    if (n <= 2) return n;
    int a = 1, b = 2, c;
    for (int i = 3; i <= n; i++) {
        c = a + b;
        a = b;
        b = c;
    }
    return b;
}

printf("%d", climbStairs(4));

medium

A. 7

B. 6

C. 5

D. 4

Solution

1. Step 1: Trace the loop for n=4

   Initial: a=1, b=2 i=3: c=1+2=3, a=2, b=3 i=4: c=2+3=5, a=3, b=5

2. Step 2: Return value after loop

   Return b=5, which is the number of ways to climb 4 steps.

3. Final Answer:

   5 -> Option C

4. Quick Check:

   Ways(4) = 5 [OK]

Hint: Use Fibonacci-like addition for steps > 2 [OK]

Common Mistakes:

• Returning a instead of b
• Off-by-one errors in loop
• Incorrect initial values

4. Identify the bug in this C function for climbing stairs:

int climbStairs(int n) {
    int ways[n+1];
    ways[1] = 1;
    ways[2] = 2;
    for (int i = 3; i <= n; i++) {
        ways[i] = ways[i-1] + ways[i-2];
    }
    return ways[n];
}

medium

A. Array ways is not initialized for ways[0]

B. No bug, code works correctly

C. Accessing ways[2] before initialization

D. Loop should start from i = 2

Solution

1. Step 1: Check array initialization

   Array ways is declared but ways[0] is not initialized, which may cause undefined behavior if accessed.

2. Step 2: Analyze usage of ways[0]

   Though ways[0] is not used in the loop, some compilers or logic might expect it initialized; best practice is to initialize ways[0] = 0.

3. Final Answer:

   Array ways is not initialized for ways[0] -> Option A

4. Quick Check:

   Uninitialized ways[0] can cause issues [OK]

Hint: Always initialize all array elements before use [OK]

Common Mistakes:

• Ignoring ways[0] initialization
• Assuming no undefined behavior without ways[0]
• Starting loop incorrectly

5. You want to find the number of ways to climb 10 steps but can take 1, 2, or 3 steps at a time. Which modification to the standard climbing stairs approach is correct?

hard

A. Use ways[i] = ways[i-1] + ways[i-3] with base cases ways[0]=1, ways[1]=1, ways[2]=2

B. Use ways[i] = ways[i-1] * ways[i-2] * ways[i-3] with base cases ways[0]=1, ways[1]=1, ways[2]=2

C. Use ways[i] = ways[i-1] + ways[i-2] with base cases ways[0]=1, ways[1]=1

D. Use ways[i] = ways[i-1] + ways[i-2] + ways[i-3] with base cases ways[0]=1, ways[1]=1, ways[2]=2

Solution

1. Step 1: Understand step size options

   Since steps can be 1, 2, or 3, ways to reach step i include ways to reach i-1, i-2, and i-3.

2. Step 2: Formulate recurrence and base cases

   ways[i] = ways[i-1] + ways[i-2] + ways[i-3]; base cases: ways[0]=1 (one way to stand still), ways[1]=1, ways[2]=2.

3. Final Answer:

   Use ways[i] = ways[i-1] + ways[i-2] + ways[i-3] with base cases ways[0]=1, ways[1]=1, ways[2]=2 -> Option D

4. Quick Check:

   Sum previous 3 ways for steps 1,2,3 [OK]

Hint: Add ways for all allowed step sizes [OK]

Common Mistakes:

• Multiplying ways instead of adding
• Ignoring the 3-step option
• Using wrong base cases