Analysis of Algorithms || Time Complexity Analysis || DAA

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time complexity analysis || time complexity and big o notation || priori analysis of algorithm || algorithm analysis || why algorithms are important for problem solving || how to analyze algorithms || why we analyse algorithm || algorithms playlist || algorithms playlist gate

Algorithm analysis is a crucial aspect of computational complexity theory, providing theoretical estimates for the required resources of an algorithm to solve a specific computational problem. It helps determine the efficiency or running time of an algorithm by relating the input length to the number of steps (time complexity) and the volume of memory (space complexity). A program, on the other hand, is an algorithm that has been encoded into a programming language, and there may be many programs for the same algorithm depending on the programmer and the programming language being used. Algorithm analysis is essential for understanding the complexity of computer programs and their performance in solving specific problems.

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📚 Subject Wise Playlist 📚
▶️Data Structures: http://tinyurl.com/bwptf6f7
▶️Theory of Computation: http://tinyurl.com/5bhtzhtd
▶️Compiler Design: http://tinyurl.com/2p9wtykf
▶️Design and Analysis of Algorithms: http://tinyurl.com/ywk8uuzc
▶️Graph Theory: http://tinyurl.com/3e8mynaw
▶️Discrete Mathematics: http://tinyurl.com/y82r977y

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