179. Largest Number - Explanation
Description
You are given a list of non-negative integers nums, arrange them such that they form the largest number and return it.
Since the result may be very large, so you need to return a string instead of an integer.
Example 1:
Input: nums = [10,2]
Output: "210"Example 2:
Input: nums = [3,30,34,5,9]
Output: "9534330"Constraints:
1 <= nums.length <= 1000 <= nums[i] <= 1,000,000,000
Topics
Prerequisites
Before attempting this problem, you should be comfortable with:
- Custom Comparators for Sorting - Defining comparison logic based on string concatenation rather than numeric value
- String Manipulation - Converting integers to strings and concatenating them for comparison
- Greedy Algorithms - Making locally optimal choices (ordering pairs) to achieve global optimum
1. Brute Force
Intuition
To form the largest number, we need to decide the order of numbers such that when concatenated, they produce the maximum value. The key insight is that comparing two numbers a and b requires checking which concatenation is larger: a + b or b + a. For example, given 9 and 34, we compare "934" vs "349" and pick the order that gives the larger result.
The brute force approach repeatedly finds the "best" number to place next by comparing all remaining numbers using this concatenation rule, then appends it to the result.
Algorithm
- Convert all integers to strings for easy concatenation comparison.
- Initialize an empty result list.
- While numbers remain:
- Find the number that should come first by comparing
arr[i] + arr[maxi]vsarr[maxi] + arr[i]for all candidates. - Append the best number to the result and remove it from the list.
- Find the number that should come first by comparing
- Join all strings and handle the edge case where the result is all zeros (return
"0").
class Solution:
def largestNumber(self, nums: List[int]) -> str:
arr = [str(num) for num in nums]
res = []
while arr:
maxi = 0
for i in range(1, len(arr)):
if arr[i] + arr[maxi] > arr[maxi] + arr[i]:
maxi = i
res.append(arr[maxi])
arr.pop(maxi)
result = "".join(res)
return result if result[0] != '0' else '0'Time & Space Complexity
- Time complexity:
- Space complexity:
Where is the size of the array and is the total number of digits in the array .
2. Sorting
Intuition
Instead of repeatedly scanning for the best number, we can use sorting with a custom comparator. The comparator determines the order by checking if a + b > b + a. By sorting the entire array once using this rule, numbers naturally arrange themselves so that their concatenation yields the largest possible value.
This approach is more efficient because sorting is faster than repeatedly finding and removing the maximum element.
Algorithm
- Convert all integers to strings.
- Sort the strings using a custom comparator: for strings
aandb, placeabeforebifa + b > b + a. - Concatenate all sorted strings.
- Handle the edge case where the result starts with
"0"(all zeros) by returning"0".
class Solution:
def largestNumber(self, nums: List[int]) -> str:
for i, num in enumerate(nums):
nums[i] = str(num)
def compare(n1, n2):
if n1 + n2 > n2 + n1:
return -1
else:
return 1
nums = sorted(nums, key=cmp_to_key(compare))
return str(int("".join(nums)))Time & Space Complexity
- Time complexity:
- Space complexity:
Where is the total number of digits in the array .
Common Pitfalls
Using Numeric Comparison Instead of Concatenation Comparison
Simply sorting numbers by their numeric value does not produce the correct order. For example, 9 should come before 34 because "934" > "349", but 34 > 9 numerically. The correct approach is to compare a + b versus b + a as strings, where + denotes concatenation.
Forgetting the All-Zeros Edge Case
When the input contains only zeros (e.g., [0, 0, 0]), the concatenated result would be "000". The expected output is "0", not "000". Always check if the result starts with '0' and return "0" in that case, since a valid number representation should not have leading zeros unless the number itself is zero.
Incorrect Comparator Logic for Sorting
When implementing a custom comparator, the logic must be consistent. For descending order (largest first), return true when a + b > b + a. Reversing this condition or using the wrong comparison operator will sort elements in ascending order, producing the smallest number instead of the largest.
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