Single Element in a Sorted Array
You are given a sorted array consisting of only integers where every element appears exactly twice, except for one element which appears exactly once.
Return the single element that appears only once.
Your solution must run in O(log n)
time and O(1)
space.
Example 1:
Input: nums = [1,1,2,3,3,4,4,8,8] Output: 2
Example 2:
Input: nums = [3,3,7,7,10,11,11] Output: 10
Constraints:
1 <= nums.length <= 105
0 <= nums[i] <= 105
Solution
Observe that the parity (even or odd) of indices ties closely with where the single element is.
We know that the numbers come in pairs before and after the one single element s
.
For the pairs that is to the left of s
: the first element takes an even index e
(as array is 0 indexed) and the second element takes an odd index e+1
.
Then the single element s
takes only one position (even), so that the pattern on the right of s
is reversed.
For the pairs that is to the right of s
: the first element takes an odd index o
, and the second element takes an even index o+1
Therefore, for an even index e
, nums[e]!=nums[e+1]
if the s
is to the left of o
.
Similar for an odd index o
, nums[o]!=nums[o-1]
means s
has already appeared.
We must also keep an eye out for out of bounds
, that is, to check whether idx
is the last index in nums
.
Implementation
def singleNonDuplicate(self, nums):
def to_the_left(idx):
if (idx == len(nums)-1):
return True
elif (idx % 2): # odd
return nums[idx] != nums[idx-1]
else: # even
return nums[idx] != nums[idx+1]
left, right, ans = 0, len(nums)-1, -1
while left <= right:
mid = (left + right) // 2
if to_the_left(mid):
ans = mid
right = mid - 1
else:
left = mid + 1
return nums[ans]
Ready to land your dream job?
Unlock your dream job with a 2-minute evaluator for a personalized learning plan!
Start EvaluatorIn a binary min heap, the minimum element can be found in:
Recommended Readings
LeetCode Patterns Your Personal Dijkstra's Algorithm to Landing Your Dream Job The goal of AlgoMonster is to help you get a job in the shortest amount of time possible in a data driven way We compiled datasets of tech interview problems and broke them down by patterns This way we
Recursion Recursion is one of the most important concepts in computer science Simply speaking recursion is the process of a function calling itself Using a real life analogy imagine a scenario where you invite your friends to lunch https algomonster s3 us east 2 amazonaws com recursion jpg You first
Runtime Overview When learning about algorithms and data structures you'll frequently encounter the term time complexity This concept is fundamental in computer science and offers insights into how long an algorithm takes to complete given a certain input size What is Time Complexity Time complexity represents the amount of time
Want a Structured Path to Master System Design Too? Don’t Miss This!