Data Structures

Perl Program to Implement Depth-First Search (DFS)

Perl Program to Implement Depth-First Search (DFS)

Depth-First Search, or DFS, is a fundamental algorithm used to traverse or explore graphs and trees. It starts at a selected node and explores as far as possible along each branch before backtracking. This approach allows programmers to visit every node systematically, making it especially useful for solving problems like pathfinding, cycle detection, or network

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Perl Program to Implement Breadth-First Search (BFS)

Perl Program to Implement Breadth-First Search (BFS)

Breadth-First Search, commonly known as BFS, is one of the most important algorithms for exploring graphs and trees. Unlike Depth-First Search (DFS), which dives deep into one path before backtracking, BFS explores all nodes level by level. This systematic approach makes it ideal for finding the shortest path between nodes, solving puzzles, and analyzing networks.

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Perl Program to Implement Exponential Search

Perl Program to Implement Exponential Search

Exponential Search is a fast and efficient searching algorithm designed for sorted arrays. It works by finding a range where the target element may exist and then performing a more precise search, usually with Binary Search, within that range. This approach is particularly useful when searching through large datasets where starting with a full linear

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Perl Program to Implement Interpolation Search

Perl Program to Implement Interpolation Search

Interpolation Search is a smart searching algorithm designed for sorted and uniformly distributed arrays. Unlike Binary Search, which splits the array in half each time, Interpolation Search estimates the position of the target based on the values at the boundaries. This can make it faster than Binary Search for certain types of data, especially when

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