Binary Search
704. Binary Search
Difficulty: Easy
Related Topics: Array, Binary Search
Given an array of integers nums which is sorted in ascending order, and an integer target, write a function to search target in nums. If target exists, then return its index. Otherwise, return -1.
You must write an algorithm with O(log n) runtime complexity.
Example 1:
Input: nums = [-1,0,3,5,9,12], target = 9 Output: 4 Explanation: 9 exists in nums and its index is 4
Example 2:
Input: nums = [-1,0,3,5,9,12], target = 2 Output: -1 Explanation: 2 does not exist in nums so return -1
First Attempt:
Code:
class Solution:
def search(self, nums: List[int], target: int) -> int:
def binarySearch(temp, target):
if nums[temp] == target:
return temp
elif nums[temp] < target:
temp = int(temp+((len(nums)-temp)/2))
return binarySearch(temp, target)
elif nums[temp] > target:
temp = int(temp / 2)
return binarySearch(temp, target)
if target not in nums:
return -1
temp = int(len(nums) / 2)
answer = binarySearch(temp, target)
return answer
Feedbacks:
I tried out this code without any basics of binarySearch and I got maximum recursion depth exceed error. And I am also confused of line of codes which find there is no target number in the list.
Second Attempt:
Code:
class Solution:
def search(self, nums: List[int], target: int) -> int:
right = len(nums) - 1
left = 0
while left <= right:
mid = int((left+right)//2)
if nums[mid]==target: return mid
if nums[mid]<target: left = mid+1
else: right = mid-1
return -1
Feedbacks:
I tried to figure out error on first attempt code, but I couldn’t so I got some help on other answers with explanation. It was surprising that binarysearch does not use recursion. Shocked me a little. Now, I fully understood the algorithm of binary search. I am looking forward to other binary search problems also!