📖 Scenario: Imagine you are climbing a staircase that has a certain number of steps. You can climb either 1 step or 2 steps at a time. You want to find out how many different ways you can reach the top.
🎯 Goal: Build a Java program that calculates the number of distinct ways to climb to the top of a staircase with n steps, where you can take either 1 or 2 steps at a time.
📋 What You'll Learn
Create an integer variable n with the exact value 5 representing the total steps.
Create an integer array dp to store the number of ways to reach each step.
Use a for loop with variable i starting from 2 up to n to fill the dp array.
Print the number of ways to reach the top step stored in dp[n].
💡 Why This Matters
🌍 Real World
This problem models situations where you can take different steps or actions to reach a goal, such as climbing stairs or moving through stages.
💼 Career
Understanding this problem helps in learning dynamic programming, which is useful in software engineering roles that require optimization and efficient problem solving.
Progress0 / 4 steps
1
Set up the total number of steps
Create an integer variable called n and set it to 5 to represent the total number of steps in the staircase.
DSA Java
Hint
Use int n = 5; inside the main method.
2
Create the array to store ways to climb
Create an integer array called dp of size n + 1. Initialize dp[0] to 1 and dp[1] to 1 to represent the base cases.
DSA Java
Hint
Remember to create the array with size n + 1 and set the first two values to 1.
3
Calculate ways to climb using a loop
Use a for loop with variable i starting from 2 up to n. Inside the loop, set dp[i] to dp[i - 1] + dp[i - 2] to calculate the number of ways to reach step i.
DSA Java
Hint
Use a for loop from 2 to n and update dp[i] as the sum of the two previous values.
4
Print the total number of ways to climb
Print the value stored in dp[n] using System.out.println(dp[n]); to show the total number of ways to reach the top step.
DSA Java
Hint
Use System.out.println(dp[n]); to print the final answer.
Practice
(1/5)
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 maximum number of steps you can take at once
B. The minimum number of steps to reach the top
C. The total number of distinct ways to reach the top
D. The number of steps you skip
Solution
Step 1: Understand the problem statement
The problem asks for the count of different ways to climb to the top using 1 or 2 steps at a time.
Step 2: Identify what is being counted
We count all possible sequences of 1-step and 2-step moves that sum to n steps.
Final Answer:
The total number of distinct ways to reach the top -> Option C
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 steps allowed
Counting skipped steps instead of ways
2. Which of the following Java method signatures correctly represents a function to solve the Climbing Stairs problem for n steps?
easy
A. public int climbStairs(int n)
B. public void climbStairs(int n)
C. public int climbStairs()
D. public int climbStairs(String n)
Solution
Step 1: Check method return type and parameters
The method should return an integer count and accept an integer input for steps.
Step 2: Validate each option
public int climbStairs(int n) returns int and takes int n, which fits the problem. Others either have wrong return type or parameter type.
Final Answer:
public int climbStairs(int n) -> Option A
Quick Check:
Return int count, input int steps [OK]
Hint: Return int, input int n for steps [OK]
Common Mistakes:
Using void return type instead of int
Missing input parameter
Using wrong parameter type like String
3. What is the output of the following Java code snippet?
public class Solution {
public static int climbStairs(int n) {
if (n <= 2) return n;
int a = 1, b = 2, c = 0;
for (int i = 3; i <= n; i++) {
c = a + b;
a = b;
b = c;
}
return c;
}
public static void main(String[] args) {
System.out.println(climbStairs(4));
}
}
medium
A. 3
B. 7
C. 4
D. 5
Solution
Step 1: Trace the loop for n=4
Initial a=1, b=2. Loop runs for i=3 and i=4. i=3: c=1+2=3, a=2, b=3 i=4: c=2+3=5, a=3, b=5
Step 2: Return value after loop
Return c=5, which is the number of ways to climb 4 steps.
Final Answer:
5 -> Option D
Quick Check:
Ways(4) = 5 [OK]
Hint: Use Fibonacci-like addition for steps > 2 [OK]
Common Mistakes:
Returning b instead of c
Off-by-one errors in loop
Misunderstanding base cases
4. Identify the error in the following Java code for climbing stairs:
public int climbStairs(int n) {
if (n == 1) return 1;
int[] dp = new int[n];
dp[0] = 1;
dp[1] = 2;
for (int i = 2; i <= n; i++) {
dp[i] = dp[i-1] + dp[i-2];
}
return dp[n];
}
medium
A. Wrong return statement should be dp[n-1]
B. Array index out of bounds due to dp size and loop range
C. Incorrect base case for n == 1
D. Missing initialization of dp[2]
Solution
Step 1: Check array size and indexing
Array dp size is n, but loop runs i from 2 to n inclusive, accessing dp[n], which is out of bounds.
Step 2: Identify correct loop range and return
Loop should run i < n, and return dp[n-1] to avoid index error.
Final Answer:
Array index out of bounds due to dp size and loop range -> Option B
Quick Check:
Loop index exceeds array size [OK]
Hint: Array size n means max index n-1 [OK]
Common Mistakes:
Looping to i <= n instead of i < n
Returning dp[n] instead of dp[n-1]
Incorrect base case handling
5. You want to find the number of ways to climb 10 steps but now you can take 1, 2, or 3 steps at a time. Which approach correctly adapts the Climbing Stairs problem?
hard
A. Use dp[i] = dp[i-1] + dp[i-2] + dp[i-3] with base dp[0]=1, dp[1]=1, dp[2]=2
B. Use dp[i] = dp[i-1] * dp[i-2] * dp[i-3] with base dp[0]=1
C. Use dp[i] = dp[i-1] + dp[i-2] only, ignoring 3 steps
D. Use recursion without memoization for all steps
Solution
Step 1: Understand the new step options
Since you can take 1, 2, or 3 steps, ways to reach step i depend on previous 3 steps.
Step 2: Formulate dp relation and base cases
dp[i] = dp[i-1] + dp[i-2] + dp[i-3]. Base cases: dp[0]=1 (one way to stand still), dp[1]=1, dp[2]=2.
Final Answer:
Use dp[i] = dp[i-1] + dp[i-2] + dp[i-3] with base dp[0]=1, dp[1]=1, dp[2]=2 -> Option A
Quick Check:
Include all step sizes in dp sum [OK]
Hint: Sum dp of last 3 steps for 1,2,3 step moves [OK]
Common Mistakes:
Ignoring 3-step moves in dp formula
Multiplying dp values instead of adding
Using recursion without caching causing slow run
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