Depth-First Search, commonly known as DFS, is a fundamental graph traversal algorithm. It explores a graph by going as deep as possible along each branch before backtracking. DFS is widely used in areas like pathfinding, cycle detection, solving puzzles, and exploring networks. Understanding DFS helps beginners grasp the basic concepts of recursion, graph representation, and […]
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Exponential Search is a powerful search algorithm that combines the strengths of linear and binary search. It is designed for sorted arrays and starts by finding a range where the target element may exist, exponentially increasing the index at each step. Once the potential range is located, it performs a Binary Search to find the
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Fibonacci Search is a unique search algorithm that uses Fibonacci numbers to divide a sorted array into sections and find a target element. Unlike Binary Search, which splits the array in half, Fibonacci Search divides the array based on Fibonacci numbers, which can provide better performance in certain cases, especially when accessing elements is costly.
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Ternary Search is an efficient searching algorithm designed to work with sorted arrays. Unlike Binary Search, which splits the search space into two parts, Ternary Search divides it into three equal sections. This approach allows the algorithm to check two midpoints in each iteration, which can reduce the number of comparisons in some cases. Ternary
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Jump Search is a searching algorithm designed to improve efficiency when working with sorted arrays. Unlike Linear Search, which checks each element one by one, Jump Search skips ahead by fixed steps, called jumps, and then performs a smaller search within a block where the target may lie. This approach reduces the number of comparisons,
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Interpolation Search is a smart searching algorithm that improves upon Binary Search for uniformly distributed, sorted datasets. Unlike Binary Search, which always checks the middle element, Interpolation Search estimates the position of the target using the values at the low and high ends of the array. This can make the search faster for large datasets
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Binary Search is a powerful searching algorithm that is much faster than Linear Search for sorted datasets. Instead of checking each element one by one, Binary Search repeatedly divides the array in half and compares the target with the middle element. If the target is smaller than the middle element, the search continues on the
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Tree Sort is an efficient sorting algorithm that uses the properties of a Binary Search Tree (BST) to arrange elements in order. The main idea behind Tree Sort is to insert all the elements of an array into a BST and then perform an in-order traversal of the tree. This traversal naturally retrieves the elements
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Linear Search is one of the simplest search algorithms in programming. The idea is straightforward: you start at the beginning of a list or array and check each element one by one until you find the target value or reach the end of the array. Even though it is not the fastest search method for
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Tim Sort is a modern and highly efficient sorting algorithm that combines the best features of Merge Sort and Insertion Sort. It was originally designed for real-world data that often contains partially ordered sequences, making it faster than traditional algorithms in many practical scenarios. Tim Sort works by breaking the array into small sections called
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