Quick Sort is one of the most popular and efficient sorting algorithms used in computer science. It follows a smart idea called divide and conquer, where a large problem is broken into smaller parts, solved separately, and then combined. The main concept behind Quick Sort is choosing a value called a pivot, placing it in […]
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Insertion Sort is a simple and beginner-friendly sorting algorithm that works the way people often sort cards in their hands. You take one item at a time and insert it into its correct position among the already sorted items. Because this idea feels very natural, Insertion Sort is one of the easiest algorithms to understand
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Merge Sort is one of the most important and widely used sorting algorithms in computer science. Unlike simple sorting methods, Merge Sort follows a smart strategy called “divide and conquer.” This means it breaks a large problem into smaller parts, solves them separately, and then combines the results. Because of this approach, Merge Sort is
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Selection Sort is a simple and classic sorting algorithm that every beginner should know. The main idea behind Selection Sort is very easy to understand. The algorithm looks for the smallest value in a list, places it at the beginning, and then repeats the same process for the remaining part of the list. Step by
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Bubble Sort is one of the oldest and simplest sorting algorithms in computer science. It works by comparing two neighboring values and swapping them if they are in the wrong order. This process repeats again and again until the whole list becomes sorted. The idea is easy to understand, which is why Bubble Sort is
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Breadth-First Search (BFS) is a fundamental algorithm for traversing graphs and trees, visiting nodes level by level. Unlike Depth-First Search, which goes deep along one branch before backtracking, BFS explores all neighbors of a node first before moving to the next level. This makes it ideal for finding the shortest path, exploring networks, and solving
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When working with graphs, one of the most fundamental tasks is traversing all nodes efficiently. Depth-First Search (DFS) is a classic algorithm used to explore a graph by going as deep as possible along each branch before backtracking. It is widely used in pathfinding, solving puzzles, detecting cycles, and analyzing networks. Learning DFS not only
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Searching efficiently is a fundamental skill in programming, especially when working with large datasets. One interesting and effective algorithm is Fibonacci Search, which is designed for sorted arrays. Unlike Binary Search, which splits arrays in halves, Fibonacci Search uses Fibonacci numbers to divide the array into sections, making it particularly useful when dealing with large,
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Searching efficiently is a key part of programming, especially when working with large datasets. While Binary Search is a classic method for finding elements in a sorted array, Exponential Search offers another powerful approach. It is particularly useful when the element we are searching for is located near the beginning of a sorted array. Exponential
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When working with sorted arrays, finding an element quickly is essential, especially as datasets grow larger. While Binary Search is the standard approach for efficiently searching sorted data, Ternary Search takes it a step further by dividing the array into three parts instead of two. By doing so, Ternary Search can sometimes reduce the number
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