Three Unique Algorithms I Love

While these algorithms might not be the most prevalent, they have the potential to be incredibly beneficial to you in your coding endeavours. During my college years, I was deeply immersed in the world of competitive coding, investing countless hours in honing my skills and tackling challenging problems. In the realm of competitive programming, it’s imperative to have a strong grasp on a core set of algorithms, almost as if…

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Why Randomized Quicksort is Preferred Over Merge Sort

Comparative Analysis of Randomized Quicksort and Mergesort in In-built Libraries: A Dive into Performance, Implementation, and Application Randomized quicksort and mergesort are both powerful sorting algorithms utilized in various programming environments. However, many in-built modules and libraries often favour randomized quicksort over mergesort. This preference is rooted in several technical and practical considerations that make randomized quicksort a more attractive choice in many scenarios. This article delves into these considerations…

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The Lifecycle of Software Development

A Comprehensive Overview: Behind Every Great Software: The Development Lifecycle. In the modern digital era, software development 💻 is no less than crafting a masterpiece. It is a complex mosaic of steps, each critically essential to bringing out a functional and user-centric product. This article delves into the intricate lifecycle of software development, from the embryonic stage of requirements to the maturity stage of release and monitoring. 1) Project Requirement:…

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Recommendation system design

Design a recommendation system that can handle millions of users and items, and make personalized recommendations in real time. The system should be able to handle new users and items being added constantly and should be able to handle a high rate of requests. How would you approach the problem, and what technologies and algorithms would you use? This question is open-ended, and the interviewer is looking to understand the…

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Longest Increasing Subsequence

Given an integer array return the length of the longest strictly increasing subsequence. Approach O(N^2) Solution To find the length of the longest strictly increasing subsequence in an integer array nums, we can use the dynamic programming approach. Here's how it works: We create an array dp of the same length as nums, where dp[i] represents the length of the longest increasing subsequence that ends at index i. We initialize each element of dp…

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Parking Lot Design in Java

Design a parking lot using object-oriented principles. Use Cases Before diving into the design, let's explore some of the use cases that we need to consider while designing a parking lot: Park a vehicle - A user should be able to park a vehicle in the parking lot. Exit the parking lot - A user should be able to exit the parking lot after paying the parking fee. Check parking…

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Undo Feature Design for Word-Processing App

How you would design the undo feature for a word processing application, such as MS Office, using object-oriented programming principles and low-level design techniques? explain the key components of your design, such as the interfaces, classes, and data structures that you would use, and how they would work together to enable undoing user actions on the document. Introduction In this article, we will discuss how to approach the design of…

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