Prompt
def binary_search(arr, low, high, x):
while low <= high:
mid = (low + high) // 2
if arr[mid] == x:
return mid
elif arr[mid] < x:
low = mid + 1
else:
high = mid - 1
return -1
Answer
Visual Representation: Binary Search Algorithm
def binary_search(arr, low, high, x):
while low <= high:
mid = (low + high) // 2
if arr[mid] == x:
return mid
elif arr[mid] < x:
low = mid + 1
else:
high = mid - 1
return -1
The above code represents the binary search algorithm, which is used to search for a specific element x
in a sorted array arr
. Here is a step-by-step breakdown of the logic behind the code:
Input Parameters: The function
binary_search
takes in four parameters:arr
(the sorted array to be searched),low
(the lower index of the array to search in),high
(the higher index of the array to search in), andx
(the element to be searched for).While Loop: The code uses a while loop that continues until
low
becomes greater thanhigh
.Midpoint Calculation: At each iteration of the loop, the code calculates the
mid
point by finding the average oflow
andhigh
and then performing integer division using//
operator.Element Comparison: The code checks if the element at index
mid
in the arrayarr
matches the target elementx
. If it does, the function returns the indexmid
, indicating that the element has been found.Divide and Conquer: If the element at index
mid
is less thanx
, it means the target elementx
is present in the right half of the array. In this case, thelow
pointer is updated tomid + 1
to search in the right subarray.Shifting Indices: If the element at index
mid
is greater thanx
, it means the target elementx
is present in the left half of the array. In this case, thehigh
pointer is updated tomid - 1
to search in the left subarray.Element Not Found: If the loop completes without finding the target element, the function returns -1, indicating that the element was not found in the array.
By visually representing the binary search algorithm, it becomes easier to comprehend the flow of logic and the decision-making process involved in finding the target element in a sorted array.
Description
This visual representation explains the logic and flow of the binary search algorithm, which is used to search for a specific element in a sorted array. The code snippet illustrates how the algorithm divides the array into smaller subarrays and uses comparisons to efficiently find the target element. Understanding the binary search algorithm is crucial for efficient search operations on sorted data.