Breadth-First Search, often known as BFS, is one of the most important graph traversal algorithms used in computer science. It works by exploring all neighbors at the current level before moving deeper, making the search feel like it spreads outward in waves from the starting node. This level-by-level approach is very helpful when you need […]
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Bubble Sort is one of the oldest and simplest sorting algorithms, and that is why it is often the first one beginners learn when studying JavaScript or any other programming language. The idea behind Bubble Sort is very easy to understand. It works by comparing two neighboring values and swapping them if they are in
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Fibonacci Search is an interesting and efficient searching algorithm for sorted arrays, built on the principles of the Fibonacci sequence. Unlike binary search, which splits the array in half, Fibonacci Search uses Fibonacci numbers to divide the array into sections, which can sometimes provide faster search performance, especially in systems where arithmetic operations are expensive.
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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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