Depth-First Search, often abbreviated as DFS, is a fundamental algorithm used to traverse or search through graphs and trees. Unlike Breadth-First Search, which explores neighbors level by level, DFS dives as deep as possible along a path before backtracking. This makes it especially useful for solving problems that require exploring all possibilities, such as maze […]
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Breadth-First Search, or BFS, is a fundamental algorithm used to explore graphs and trees level by level. Unlike Depth-First Search, which dives as deep as possible along a branch, BFS explores all neighbors of a node first before moving to the next level. This makes it particularly useful for finding the shortest path in unweighted
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Exponential Search is an efficient algorithm designed for searching elements in a sorted array. Unlike linear search, which checks each element one by one, Exponential Search quickly finds a range where the target element might exist and then uses a simpler search like Binary Search to locate it. The key idea is to increase the
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Fibonacci Search is an interesting and efficient searching algorithm that works on sorted arrays. Unlike Linear Search, which checks each element one by one, or Binary Search, which splits the array in halves, Fibonacci Search uses Fibonacci numbers to divide the array into sections for searching. This unique approach allows it to reduce the number
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Ternary Search is an efficient searching algorithm that is similar to Binary Search, but instead of splitting the array into two halves, it divides the array into three parts. This allows the algorithm to potentially find a target element faster in certain situations. Like Binary Search, Ternary Search works only on sorted arrays and uses
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Jump Search is a searching algorithm that sits somewhere between Linear Search and Binary Search. It works by dividing a sorted array into blocks and jumping ahead by a fixed number of elements, rather than checking each element one by one. Once the block that may contain the target element is found, a simple linear
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Binary Search is a fast and efficient searching algorithm that allows you to find an element in a sorted array quickly. Unlike Linear Search, which checks each element one by one, Binary Search repeatedly divides the array in half and checks the middle element. This “divide and conquer” approach makes it much faster, especially for
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Interpolation Search is an advanced searching algorithm that improves upon Binary Search for certain types of datasets. Instead of always checking the middle element, Interpolation Search estimates the position of the target based on the value you are searching for. This makes it especially efficient for uniformly distributed sorted arrays, where the elements are roughly
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Tree Sort is a unique sorting algorithm that uses a Binary Search Tree (BST) to arrange data in order. The idea is simple: insert all elements of the array into a BST, and then perform an in-order traversal to retrieve the elements in sorted order. Since a BST stores smaller elements on the left and
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Linear Search is one of the simplest and most beginner-friendly searching algorithms in programming. The idea is straightforward: start at the beginning of an array and check each element one by one until you find the target value. If the target is found, you return its position; if not, the search continues until the end
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