Overlapping sub-problems Dynamic programming is an approach used to solve the complex problem by breaking down the problem into sub-problems and storing…
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Network Flow Problems The most obvious flow network problem is the following: Problem1: Given a flow network G = (V, E), the…
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Traveling-salesman Problem In the traveling salesman Problem, a salesman must visits n cities. We can say that salesman wishes to make a…
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Prim’s Algorithm It is a greedy algorithm. It starts with an empty spanning tree. The idea is to maintain two sets of…
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Differentiate between Dynamic Programming and Greedy Method Dynamic Programming Greedy Method 1. Dynamic Programming is used to obtain the optimal solution. 1.…
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Recursive Maze Algorithm Recursive Maze Algorithm is one of the best examples for backtracking algorithms. Recursive Maze Algorithm is one of the…
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NP-Completeness A decision problem L is NP-Hard if L’ ≤p L for all L’ ϵ NP. Definition: L is NP-complete if L…
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Vertex Cover Vertex Cover Definition Vertex Cover ≤ρ Clique Clique ≤ρ Vertex Cover Vertex Cover ϵ NP 1) Vertex Cover: Definition: –…
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Shortest Common Supersequence The shortest common supersequence is the variation of the longest common subsequence. Problem Statement: Given two strings s1 and…
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Dynamic Programming Dynamic programming is a technique that breaks the problems into sub-problems, and saves the result for future purposes so that…