Depth-First Search, often called DFS, is one of the most important graph-traversal algorithms in computer science. It follows a simple but powerful idea: start from a node, explore one direction as far as possible, and only then backtrack to explore other paths. Because it travels deep before moving sideways, DFS becomes useful when you need […]
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Exponential Search is a powerful searching algorithm designed for sorted arrays, combining the speed of exponential growth with the precision of binary search. It works by first finding a range where the target element may exist and then performing a binary search within that range. This approach is particularly useful when the element is located
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Ternary Search is a searching algorithm used for finding an element in a sorted array by dividing the search space into three parts instead of two, as in Binary Search. It repeatedly narrows down the interval by comparing the target value with two midpoints. This allows it to eliminate one-third of the array in each
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Jump Search is a searching algorithm designed to work on sorted arrays. Unlike Linear Search, which checks each element one by one, or Binary Search, which divides the array in half each time, Jump Search moves in fixed-size steps or “jumps” to quickly find the target. When it overshoots the target, it performs a linear
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Interpolation Search is an efficient searching algorithm that works on sorted arrays by estimating the position of the target element. Unlike Binary Search, which always looks in the middle, Interpolation Search predicts where the element might be based on the values of the elements. This can make it faster than Binary Search when the data
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Linear Search is one of the simplest and most intuitive searching algorithms. It works by checking each element of a list or array, one by one, until it finds the target element or reaches the end of the list. This straightforward approach makes Linear Search a perfect starting point for beginners to understand basic search
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Binary Search is a fundamental searching algorithm that is both efficient and widely used in programming. Unlike Linear Search, which checks each element one by one, Binary Search works on sorted data and repeatedly divides the search range in half. This “divide and conquer” approach makes it much faster for large datasets, reducing the number
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Counting Sort is a simple and efficient sorting algorithm, especially useful for sorting integers within a known range. Unlike comparison-based sorting algorithms such as quicksort or mergesort, Counting Sort counts the occurrence of each element and then calculates the position of each element in the sorted output. This makes it extremely fast for datasets where
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Tree Sort is a fascinating and intuitive sorting algorithm that uses the concept of binary search trees (BST) to sort elements efficiently. By inserting elements into a BST, the algorithm organizes data in such a way that an in-order traversal produces a sorted sequence. This makes Tree Sort both elegant and easy to understand for
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Tim Sort is a highly efficient sorting algorithm that combines ideas from merge sort and insertion sort. It was originally designed to handle real-world data efficiently, taking advantage of already-sorted sequences in arrays. The main concept is to divide the array into small segments called “runs,” sort each run using insertion sort, and then merge
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