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This presentation delves into computational complexity, focusing on NP-hard problems and algorithmic solutions. Beginning with the definition and significance of NP-hardness, it transitions to dynamic programming as a tractable approach with pseudo-polynomial runtimes. Advanced algorithmic methods, including approximation algorithms and fixed-parameter tractability, are explored alongside real-world applications such as scheduling and resource allocation. The emphasis is on the importance of...