Letter Combinations of Phone Number
Given a string containing digits from 2-9, return all possible letter combinations that the number could represent (like a phone keypad).
Output each combination on a separate line, sorted lexicographically.
Mapping: 2=abc, 3=def, 4=ghi, 5=jkl, 6=mno, 7=pqrs, 8=tuv, 9=wxyz
Example:
23
ad ae af bd be bf cd ce cf
- The input string
23is mapped to its corresponding letters:2=abcand3=def. - For each letter in
abc, we combine it with each letter indef, resulting in 3â‹…3=9 possible combinations. - These combinations are:
ad,ae,af,bd,be,bf,cd,ce,cf. - The combinations are then sorted lexicographically, resulting in the final output: ad ae af bd be bf cd ce cf
Constraints:
- 0 <= len(digits) <= 4
- digits[i] is a digit in range ['2', '9']
Background Knowledge
The problem "Letter Combinations of Phone Number" falls under the category of Recursion & Backtracking. To tackle this problem, it's essential to understand the basics of recursion and how it can be used to solve problems that involve exploring all possible combinations of a given input. Recursion is a programming technique where a function calls itself repeatedly until it reaches a base case that stops the recursion. In the context of this problem, recursion will be used to generate all possible letter combinations for a given phone number.
The concept of backtracking is also crucial in solving this problem. Backtracking is a strategy used to find all possible solutions to a problem by exploring all possible paths and backtracking when a dead end is reached. In this case, backtracking will be used to explore all possible letter combinations for each digit in the phone number. The phone keypad mapping provided in the problem description will serve as the foundation for generating these combinations. Understanding how to use recursion and backtracking to explore all possible combinations of the input will be key to solving this problem.
The problem also requires an understanding of lexicographical ordering, which refers to the arrangement of words in a dictionary-like order. The solution should output each combination on a separate line, sorted lexicographically. This means that the combinations should be arranged in alphabetical order, with the combination that starts with the letter that comes first in the alphabet appearing first, and so on.
Algorithm/Approach
The general approach to solving this problem involves using a recursive function to generate all possible letter combinations for a given phone number. The function will take the current combination and the remaining digits in the phone number as input and will use the phone keypad mapping to generate all possible combinations. The backtracking strategy will be used to explore all possible combinations and to backtrack when a dead end is reached.
Step-by-Step Strategy
To implement the solution, follow these steps:
- Define a recursive function that takes the current combination and the remaining digits in the phone number as input.
- Use the phone keypad mapping to generate all possible letters for the next digit in the phone number.
- For each possible letter, recursively call the function with the updated combination and the remaining digits.
- When there are no more digits left to process, add the current combination to the result list.
- After generating all combinations, sort the result list in lexicographical order.
Common Pitfalls
When implementing the solution, watch out for the following common pitfalls:
- Failing to handle the base case correctly, which can lead to infinite recursion.
- Not backtracking correctly, which can result in missing combinations or incorrect combinations.
- Not sorting the result list in lexicographical order.
Time & Space Complexity
The expected time complexity for this problem is O(4n), where n is the number of digits in the phone number. This is because in the worst case, each digit can have up to 4 possible letters (e.g., the digit 7 can represent the letters 'p', 'q', 'r', or 's'). The expected space complexity is also O(4n), as in the worst case, we need to store all possible combinations in the result list. However, the actual time and space complexity may be less than this, depending on the specific input and the efficiency of the implementation.