Dynamic programmingLeetCode 70

Lesson 20 of 76

Climbing Stairs

Count the distinct ways to climb n stairs when each move is one or two steps.

Watch on YouTube

Lesson notes

Try it before you watch

Restate the problem in your own words, list the edge cases, and sketch a solution with its running time. Then play the video and compare.

Reveal the key idea

ways(n) = ways(n − 1) + ways(n − 2), the Fibonacci recurrence. Keep only the last two values.

Pattern: Dynamic programming. Define a state, write the recurrence between states, and compute each state only once.

Complexity

Cost of the standard optimal approach for Climbing Stairs
Measure Bound
Time O(n)
Extra space O(1)

Walkthroughs often start from a simpler approach first; aim to reach these bounds. New to Big-O? Read understanding algorithmic complexity.