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Leetcode #306: Additive Number

In this guide, we solve Leetcode #306 Additive Number in Python and focus on the core idea that makes the solution efficient.

You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews.

Leetcode

Problem Statement

An additive number is a string whose digits can form an additive sequence. A valid additive sequence should contain at least three numbers.

Quick Facts

  • Difficulty: Medium
  • Premium: No
  • Tags: String, Backtracking

Intuition

We must explore combinations of choices, but many branches can be pruned early.

Backtracking enumerates valid candidates while keeping the search space under control.

Approach

Use DFS to build candidates step by step, and backtrack when constraints are violated.

Pruning keeps the exploration practical for typical constraints.

Steps:

  • Define the decision tree.
  • DFS through choices and backtrack.
  • Prune invalid paths early.

Example

Input: "112358" Output: true Explanation: The digits can form an additive sequence: 1, 1, 2, 3, 5, 8. 1 + 1 = 2, 1 + 2 = 3, 2 + 3 = 5, 3 + 5 = 8

Python Solution

class Solution: def isAdditiveNumber(self, num: str) -> bool: def dfs(a, b, num): if not num: return True if a + b > 0 and num[0] == '0': return False for i in range(1, len(num) + 1): if a + b == int(num[:i]): if dfs(b, a + b, num[i:]): return True return False n = len(num) for i in range(1, n - 1): for j in range(i + 1, n): if i > 1 and num[0] == '0': break if j - i > 1 and num[i] == '0': continue if dfs(int(num[:i]), int(num[i:j]), num[j:]): return True return False

Complexity

The time complexity is Exponential (worst case). The space complexity is O(depth).

Edge Cases and Pitfalls

Watch for boundary values, empty inputs, and duplicate values where applicable. If the problem involves ordering or constraints, confirm the invariant is preserved at every step.

Summary

This Python solution focuses on the essential structure of the problem and keeps the implementation interview-friendly while meeting the constraints.


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