Bifalgorithm post
Hello everyone, today we will be learning about binary search, which is an efficient search algorithm that works by dividing the input list or array into two halves, comparing the target element with the middle element, and then repeating the process in the appropriate half until the target element is found, or it is determined that the element is not present in the list. The time complexity of binary search is O log n, where n is the number of elements in the list or array. Here's an implementation of binary search in Python. This implementation takes a sorted list ARR and a target element target as inputs and returns the index of the target element if it is found in the list or minus one if the target element is not in the list. Let us put this method to the test by passing it a sorted list and a target of 15 to see whether it returns the proper index. The result shows that the index is 4, feel free to comment below if you believe that is the correct answer or not. Finally thank you for watching and see you next time.
Hello everyone, today we will be learning about binary search, which is an efficient search algorithm that works by dividing the input list or array into two h…
Ideas in this flowchart
- Binary Search Overview
- Binary Search Algorithm
- Divides list into halves
- Compares target with middle element
- Repeats process in appropriate half
- Time Complexity
- O(log n)
- Python Implementation
- Inputs: Sorted list ARR, Target element
- Returns index or -1
- Testing the Method
- Sorted list, Target = 15
- Result: Index is 4
- Comments on Correctness