Sorting is one of the most important tasks in programming, and as you explore different algorithms, you eventually come across Merge Sort. This algorithm is well known for its efficiency and reliability, especially when dealing with large datasets. Merge Sort follows a divide-and-conquer approach, meaning it breaks the problem into smaller parts, solves each part, […]
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Sorting is a common task in programming, and one of the simplest algorithms that beginners enjoy learning is Insertion Sort. It works in a very natural way, almost like how people arrange playing cards in their hands. Each card is taken one at a time and placed into the correct position among the cards already
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Breadth-First Search, known as BFS, is one of the most important algorithms for exploring graphs and trees. While DFS goes deep into one branch before returning, BFS takes a much wider and more organized approach. It explores nodes level by level, almost like waves spreading out from a starting point. Because of this behaviour, BFS
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Sorting is a core concept in programming, and Selection Sort is one of the simplest algorithms to understand and implement. Unlike Bubble Sort, which repeatedly swaps adjacent elements, Selection Sort works by repeatedly selecting the smallest (or largest) element from the unsorted portion of the array and placing it at the correct position. This makes
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Sorting is one of the most important concepts in programming. Among the simplest sorting algorithms is Bubble Sort, which is often the first algorithm beginners learn. Bubble Sort works by repeatedly comparing adjacent elements in an array and swapping them if they are in the wrong order. This process continues until the array is completely
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Fibonacci Search is one of those algorithms that feels both clever and refreshing. It takes the popular idea of searching through sorted data and adds a mathematical twist by using the Fibonacci sequence to decide where to check first. If you’ve ever used Binary Search, you already know the general idea of dividing the data
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Depth-First Search, often called DFS, is one of the most important graph-traversal algorithms in computer science. It explores a graph or tree by going as deep as possible into one path before stepping back and exploring the next. This creates a natural “diving” effect where the algorithm tries to reach the deepest node before returning
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Exponential Search is a powerful searching technique that combines the speed of doubling steps with the precision of Binary Search. It is designed for sorted arrays and works by jumping through the data in growing steps until it finds a range where the target might be. Once that range is discovered, it hands the job
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Jump Search is one of those algorithms that feels simple once you understand the idea behind it, yet it offers a nice step up from basic searching techniques. In many ways, it sits between Linear Search and Binary Search, borrowing ideas from both. It keeps the data sorted like Binary Search does, but it moves
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Interpolation Search is a fascinating searching technique that gives you a smarter way to locate values inside a sorted list. While Binary Search always looks at the middle of the list, Interpolation Search tries to guess where the value might be based on its actual size. This makes it especially useful when your data is
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