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DSA Typescriptprogramming~5 mins

Climbing Stairs Problem in DSA Typescript - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is the Climbing Stairs Problem?
It is a problem where you count how many distinct ways you can climb to the top of a staircase with n steps, taking either 1 or 2 steps at a time.
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beginner
What is the base case for the Climbing Stairs Problem?
For 1 step, there is 1 way to climb. For 2 steps, there are 2 ways: (1+1) or (2).
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intermediate
What is the relation between the number of ways to climb n steps and smaller steps?
The number of ways to climb n steps equals the ways to climb (n-1) steps plus the ways to climb (n-2) steps.
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intermediate
How can you optimize the Climbing Stairs solution to use less memory?
Instead of storing all previous results, keep only the last two counts since each new count depends only on the previous two.
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beginner
Write the TypeScript function signature for the Climbing Stairs Problem.
function climbStairs(n: number): number
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How many ways are there to climb 3 steps if you can take 1 or 2 steps at a time?
A4
B2
C3
D5
What is the time complexity of the dynamic programming solution for the Climbing Stairs Problem?
AO(n)
BO(n^2)
CO(2^n)
DO(log n)
Which of these is the correct recurrence relation for the Climbing Stairs Problem?
Aways(n) = ways(n-1) / ways(n-2)
Bways(n) = ways(n-1) + ways(n-2)
Cways(n) = ways(n-1) - ways(n-2)
Dways(n) = ways(n-1) * ways(n-2)
What is the minimum number of steps you can take at once in the Climbing Stairs Problem?
A2
B0
C3
D1
If n = 1, how many ways are there to climb the stairs?
A1
B0
C2
D3
Explain how to solve the Climbing Stairs Problem using dynamic programming.
Think about how the number of ways to climb depends on previous steps.
You got /4 concepts.
    Describe how to optimize the space used in the Climbing Stairs Problem solution.
    Focus on what data is needed to compute the next step.
    You got /3 concepts.