## What are the conditions that are required for a binary search algorithm?

Data structure must be sorted (weak-ordered) for any search other than linear to work. Data structure must be sorted in the same order as the one assumed by the binary search algorithm.

**What is the initial condition to apply binary search?**

Initial Condition: left = 0, right = length. Termination: left == right. Searching Left: right = mid. Searching Right: left = mid+1.

### Which is not required for binary search algorithm?

Which of the following is not the required condition for a binary search algorithm? The list must be sorted. There should be direct access to the middle element in any sub list. There must be a mechanism to delete and/or insert elements in the list.

**Which is true for binary search?**

Remaining all are true regarding binary search trees. Explanation: As a binary search tree consists of elements lesser than the node to the left and the ones greater than the node to the right, an inorder traversal will give the elements in an increasing order.

#### Why do we need binary search?

In its simplest form, binary search is used to quickly find a value in a sorted sequence (consider a sequence an ordinary array for now). We’ll call the sought value the target value for clarity. Binary search maintains a contiguous subsequence of the starting sequence where the target value is surely located.

**How do you use binary search?**

Binary search begins by comparing an element in the middle of the array with the target value. If the target value matches the element, its position in the array is returned. If the target value is less than the element, the search continues in the lower half of the array.

## Which is the best searching algorithm?

Binary search method is considered as the best searching algorithms. There are other search algorithms such as the depth-first search algorithm, breadth-first algorithm, etc. The efficiency of a search algorithm is measured by the number of times a comparison of the search key is done in the worst case.

**Why is it called binary search?**

Binary search is a ‘divide and conquer’ algorithm which requires the initial array to be sorted before searching. It is called binary because it splits the array into two halves as part of the algorithm. Initially, a binary search will look at the item in the middle of the array and compare it to the search terms.

### How do you do binary search problems?

Binary Search: Search a sorted array by repeatedly dividing the search interval in half. Begin with an interval covering the whole array. If the value of the search key is less than the item in the middle of the interval, narrow the interval to the lower half. Otherwise, narrow it to the upper half.

**Why do we use binary search?**

Finding a value in a sorted sequence In its simplest form, binary search is used to quickly find a value in a sorted sequence (consider a sequence an ordinary array for now). Based on the comparison and because the sequence is sorted, it can then eliminate half of the search space.

#### What is the fastest algorithm?

Quicksort

The time complexity of Quicksort is O(n log n) in the best case, O(n log n) in the average case, and O(n^2) in the worst case. But because it has the best performance in the average case for most inputs, Quicksort is generally considered the “fastest” sorting algorithm.

**Are there any limitations to the binary search algorithm?**

The only limitation is that the array or list of elements must be sorted for the binary search algorithm to work on it. Following are the steps of implementation that we will be following:

## How does a binary search algorithm work in Excel?

Binary search Algorithm works by repeatedly dividing the given array in half and search through the list for the required element. The important advantage in using Binary search is that it reduces the number of searches by dividing the array in half thus reducing the time required for finding the element we are looking for.

**How does a binary search in Python work?**

Binary Search: Search a sorted array by repeatedly dividing the search interval in half. Begin with an interval covering the whole array. If the value of the search key is less than the item in the middle of the interval, narrow the interval to the lower half.

### Can a binary search be used in ascending order?

Data structure must be sorted in the same order as the one assumed by the binary search algorithm. As I mentioned, if the data is sorted in the ascending order, like the OP said, it doesn’t mean that the binary search will provide the correct result, if the search is built for descending order, for example.