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LEETFLIX

Maximum Number of Items From Sale I

MediumArrayDPGreedy
Solve on LeetCode

Medium · dynamic programming solution for Maximum Number of Items From Sale I. Python, Go, and a step-by-step animation.

01

Problem

Read the prompt, flip through the examples, then steal the idea.

LeetCode 3946. Maximum Number of Items From Sale I. The copyrighted prompt is on LeetCode. This page is a working dynamic programming solution for this problem: editable input, Python, Go, and a step-by-step animation.

Constraints

  • —Player inputs are capped so the animation stays readable.
  • —Match LeetCode's own constraints when you submit there.

Examples

Input

n =
5

Output

8

Ways to climb 5 stairs with 1- or 2-steps: Fibonacci, 8.

02

Solution

Python and Go. The walkthrough below runs this same code.

Approach 1Optimal▶ Animated

Maximum Number of Items From Sale I — dynamic programming

Each answer is a combination of smaller answers already in the table. Built for LeetCode 3946. Maximum Number of Items From Sale I.

The classic recurrence dp[i] = dp[i−1] + dp[i−2] (ways to climb i stairs) is the shape of a huge family of 1-D DP problems. Fill left to right; two rolling variables are enough.

Algorithm

  1. Base: a, b = 1, 1 (ways to reach step 0 and 1).
  2. For i from 2 to n, a, b = b, a+b.
  3. Return b.
Time
O(n)
Space
O(1)
Solution.py
class Solution:    def maximumNumberOfItemsFromSaleI(self, n: int) -> int:        a, b = 1, 1        for _ in range(2, n + 1):            a, b = b, a + b        return b
Watch this run

03

Interactive walkthrough

Playing “Maximum Number of Items From Sale I — dynamic programming”. Edit the input, hit Run, then scrub.

Approach: Maximum Number of Items From Sale I — dynamic programming

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