Merge Sort is a powerful and efficient sorting algorithm that works much faster than simple algorithms like Bubble Sort or Insertion Sort when the data becomes large. The main idea behind Merge Sort is to divide a list into smaller parts, sort those parts, and then merge them back together in the correct order. Because […]
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Quick Sort is one of the most popular and widely used sorting algorithms in computer science. It is known for being very fast in practice and is often the first “advanced” sorting algorithm beginners learn after simple ones like Bubble Sort or Insertion Sort. The core idea of Quick Sort is to pick one element
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Selection Sort is a simple and easy-to-understand sorting algorithm that works well for beginners. The idea behind Selection Sort is very straightforward. The algorithm repeatedly looks for the smallest value in a list and moves it to the correct position. Step by step, the list becomes sorted from left to right. Because of this clear
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Insertion Sort is one of the most beginner-friendly sorting algorithms you can learn. It works in a very natural way, similar to how people sort playing cards in their hands. You take one value at a time and insert it into the correct position among the already sorted values. Because of this simple idea, Insertion
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Bubble Sort is one of the simplest sorting algorithms you can learn as a beginner. It works by comparing two nearby values and swapping them if they are in the wrong order. This process repeats again and again until the entire list becomes sorted. Because of this repeated swapping, the biggest values slowly move to
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Breadth-First Search (BFS) is a fundamental algorithm used to explore nodes in a graph or tree level by level. Unlike Depth-First Search (DFS), which dives deep along a branch before backtracking, BFS starts from a source node and visits all neighboring nodes before moving to the next level. This makes BFS ideal for finding the
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Depth-First Search (DFS) is one of the most fundamental algorithms used in computer science for exploring graphs and trees. It works by starting at a source node and exploring as far as possible along each branch before backtracking. This makes it ideal for solving problems where you need to traverse an entire structure, such as
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Fibonacci Search is an interesting and efficient searching algorithm designed for sorted arrays. Unlike Binary Search, which divides the search space into halves, Fibonacci Search uses Fibonacci numbers to split the array into sections. This approach can be particularly effective for large arrays and provides a unique way to locate elements quickly. For beginners learning
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Ternary Search is an advanced searching algorithm designed to find an element in a sorted array more efficiently than Linear Search. Unlike Binary Search, which divides the search space into two halves, Ternary Search splits it into three parts at each step. This allows it to narrow down the target’s location faster, especially in large
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Exponential Search is a fast and efficient algorithm designed to locate elements in sorted arrays. It combines the speed of binary search with a smart way of quickly finding a search range. Instead of checking each element one by one, Exponential Search first finds a range where the target could exist by repeatedly doubling an
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