Demystifying Interpolation Search

Demystifying Interpolation Search

Demystifying Interpolation Search: Upgrade Your Searching Game! Prior to this article, I have written about Binary Search. Check it out if you haven’t seen it.

Prior to this article, I have written about Binary Search. Check it out if you haven’t seen it. In this article, we will be discussing Interpolation Search, which is an improvement of Binary Search when the values in the sorted array are uniformly distributed.

You might recall that Binary Search is already running in O(log n) time complexity. Can there be any other methods that perform even better? Ummm… partly yes. We will dive into it shortly.


Interpolation Search is another efficient searching technique. This method can outrun binary search in cases where the elements of the array are uniformly distributed. Interpolation Search estimates the position of the key value in the array. This can be achieved by taking into account the smallest and the largest element in the array and the length of the array.

It is based on the thinking that if the key value is larger (closer to the largest element), it’s position is likely located to the end of the array. The same thing goes for a key with a smaller value.

How Does it Work?

There are the 6 main steps in doing Interpolation Search, which are:

  1. Estimates the middle position for the array and compares this element to the desired key.
  2. If the key matches the middle element, return the middle location.
  3. If the key is smaller than the middle element, then the key can only lie in the left subarray. Focus on the left subarray

artificial-intelligence data-science technology programming data analysis

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Data Science Course in Dallas

Become a data analysis expert using the R programming language in this [data science](https://360digitmg.com/usa/data-science-using-python-and-r-programming-in-dallas "data science") certification training in Dallas, TX. You will master data...

50 Data Science Jobs That Opened Just Last Week

Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.

Exploratory Data Analysis is a significant part of Data Science

Data science is omnipresent to advanced statistical and machine learning methods. For whatever length of time that there is data to analyse, the need to investigate is obvious.

Business Intelligence and Data Science terms become

Business Intelligence and Data Science terms become very popular these days: It is undeniable that information is the foundation of any successful company and business entrepreneurs.

A Practical Guide for Exploratory Data Analysis: Flight Delays

The dataset also includes information on time and distance of flights which might also have an effect on delays. These columns can be analyzed with similar methods.